190 results about "Infrared remote sensing" patented technology

The invention discloses an infrared remote sensing image sea ship detecting method based on significance analysis. The method can be used for sea ship detection in infrared remote sensing images in aerospace and aviation. The method comprises the following steps of: dividing an infrared remote sensing image to obtain sea regions; in the divided sea regions, detecting candidate targets which can be ships on a sea surface by a method based on the significance analysis; carrying out primary filtering on the candidate targets according to size information; carrying out secondary filtering on the candidate targets according to shape information; and determining the candidate target which passes the limit on the size and shape as the sea ship which is obtained by final detection. By combining image division and significance analysis techniques, the method disclosed by the invention realizes the division of the sea regions in the infrared remote sensing image and the detection on the sea ships, and avoids the defects of relatively narrow application range and poor detection performance of a single target detection algorithm.

The invention relates to an agricultural chemical application monitoring and accurate flow rate control device and method. The device comprises a chemical mixing device, a flow rate meter, a nozzle, acontroller and an infrared remote sensing detector, on-spot preparing and using of agricultural chemical is achieved by the chemical mixing device, the agricultural chemical is sprayed by passing through a primary pipeline to reach the nozzle, remote sensing images of a field are detected by the infrared remote sensing detector, and a corresponding application prescription map and an applicationstrategy are generated after data analysis processing is conducted; agricultural chemical spraying is controlled by the controller according to the application prescription map and the application strategy, the application concentration is adjusted by controlling a water pump and a chemical filling pump, application situation is monitored in real time according to signals transmitted by a camera,an ultrasound radar, the flow meter and a velocity sensor to adjust the application concentration and the flow rate, and therefore accurate application and flow rate control can be achieved. Accordingto the device, computation of the concentration and amount of the chemical can be conducted according to disease and pest situation of the field, feedback is conducted in real time, accurate application is conducted to improve the utilization rate of the agricultural chemical, and agricultural residue and waste caused by blindly application are prevented.

The invention provides a two-waveband infrared optical system, belongs to an infrared remote sensing optical system, and solves the problems of limited optical path layout of the conventional map-integrated device and large volume of the entire device. The system comprises a scanning rotating mirror, a two-waveband infrared optical lens, a spectrometer, an infrared focal plane detector and a signal processor, wherein the two-waveband infrared optical lens consists of an infrared window, a beam splitter, a medium wave lens and a long wave lens; the scanning rotating mirror is positioned above the infrared window; an infrared optical fiber transmits infrared light output by the medium wave lens to the spectrometer; the infrared focal plane detector is positioned on an output optical axis of the long wave lens; and output signals of the spectrometer and the infrared focal plane detector are transmitted to the signal processor through a transmission cable. The system has small volume, high integration level, and convenient and flexible use, can realize automatic scanning, identification and track of a target by observing two wavebands of external scenery, and can be effectively applied to military or civil fields of missile infrared guidance, atmospheric pollution, remote measurement of poisonous gas and the like.

The invention relates to a sparse coding and visual saliency-based method for detecting an airport through an infrared remote sensing image. The method comprises the following steps of: firstly, down-sampling an original remote sensing image, linearly detecting the down-sampled remote sensing image via using an LSD (Least Significant Difference) algorithm, calculating the saliency of the image via using an FT algorithm; then detecting the airport by utilizing a sliding window target detector, judging whether a linear section exists in the sliding window, if not, sliding the window continuously, if so, carrying out the sparse coding on the window by utilizing a dictionary constructed by an airport target image of the remote sensing image, and screening sparse codes in a way of combining the sparse codes with salient values of the window, so as to obtain sparse expression characteristics of the window; finally, discriminating the sparse code characteristics of the sliding window via an SVM (Support Vector Machine) binary classifier, judging whether the airport exists in the window, and realizing the detection of an airport target ultimately. Compared with other invented technologies, the method has the advantages of high airport detection accuracy and low false alarm rate.

The invention relates to a microwave / infrared remote sensing image combined soil moisture inversion method. By combining the applicability characteristics of PDI (precipitation distance index) and VSWI (vegetation supply water index), a remote sensing monitoring model based on CDI (composite drought index) is established according to different ground surface vegetation coverages. The method comprises the following steps: obtaining the CDI result by using infrared remote sensing data, calculating the correlation coefficient between the CDI inversion result and microwave remote sensing data by combining the microwave remote sensing data, establishing a regression equation, carrying out image fusion while downscaling the microwave data, converting the CDI result reversed from the infrared data into true soil moisture value, and filling the infrared data null region with the microwave remote sensing data, thereby obtaining the complete high-resolution soil moisture product. The method is simple and practical, and enhances the wide-range soil moisture inversion efficiency.

Interfusion between radar image and infrared imagery in pixel level is carried out for complicated city zone by using principal component analysis method. Through combination of back propagation artificial neural network (BP-ANN) and genetic algorithm (GA), BP-ANN / GA hybrid algorithm is built up. By using ability of global optimization of GA algorithm, the method optimizes initial weight value of BP-ANN, overcomes disadvantages of slow convergence rate of traditional BP-ANN, and easy of getting into local minimum so as to increase speed for automatic sorting remote sensing images from multiple sources and accomplish sort for characters of ground objects.

The invention provides an infrared remote sensing image change detection method based on a multi-source target characteristic support. The method comprises the following steps of: S1, carrying out change detection on visible light remote sensing images so as to obtain an initial detection result; S2, converting change targets and invariable targets obtained by visible light change detection to infrared remote sensing images according to visible light and infrared remote sensing image registration; S3, extracting multi-source target characteristics; S4, respectively selecting a part of the change targets and invariable targets of the visible light as positive samples, selecting a part of the invariable targets of the visible light as negative samples and utilizing the selected samples as training samples; S5, training SVM to obtain a change detection model; and S6, carrying out change detection to obtain the infrared remote sensing image change detection result. The method provided by the invention can be used for detecting image changes caused by changes of ground features and detecting image changes caused by changes of the working states of the ground features, and is high in stability and wide in application range.

The invention discloses a silver nanowire and M-phase vanadium dioxide nanoparticle composite film and a preparation method thereof. The film is prepared from silver nanowire film with the film thickness of 80-120 nm and an M-phase vanadium dioxide nanoparticle film with the film thickness of 100-1000 nm, which are sequentially coated on a substrate, wherein the linear diameter of the silver nanowire for forming the silver nanowire film is 40-100 nm, and the wire length is 50-100 microns; the particle size of the M-phase vanadium dioxide nanoparticle for forming the M-phase vanadium dioxide nanoparticle film is 20-100 nm. The preparation method comprises the following steps: spin coating or blade coating the substrate with silver nanowire isopropanol solution with the concentration of 0.3-1.5 wt%, drying the substrate, spin coating or blade coating the substrate coated with the silver nanowire film with M-phase vanadium dioxide nanoparticle aqueous solution with the concentration of 2-5 wt% or ethanol solution, and at last preparing the target product. The silver nanowire and M-phase vanadium dioxide nanoparticle composite film is low in phase transformation voltage; the preparation method is convenient and low in cost; the composite film can be widely applied to the fields such as energy-saving windows, gas sensors, optoelectronic switches, thermistors, infrared remote sensing receivers and uncooled focal plane radiation detectors.

The invention provides a sea surface temperature fusing method and system, and relates to the technical field of sea information. The method comprises the following steps: acquiring stationary satellite infrared remote sensing and microwave remote sensing sea surface temperature products in preset time before a target moment and on-site observation data of a sea observation system at the target moment; preprocessing the sea surface temperature products and the on-site observation data; carrying out daily change correction on the preprocessed sea surface temperature products; carrying out deviation correction on the stationary satellite infrared remote sensing temperature products and the microwave remote sensing sea surface temperature products subjected to daily change correction; fusingthe stationary satellite infrared remote sensing temperature products and the microwave remote sensing sea surface temperature products subjected to daily change correction with the preprocessed on-site observation data, so as to obtain sea surface temperature fusing products at the target moment. The sea surface temperature fusing method and system of the embodiment of the invention are capable of obtaining the sea surface temperature fusing products with high time-space resolution, high space coverage degree, gradual time level and high accuracy.

The invention discloses a remote sensing surface temperature spatial downscaling method based on normalized desert indexes. The method comprises the following steps: a, acquiring a multi-spectrum andthermal infrared remote sensing image which covers the range of a research area under a sunny condition, and preprocessing; b, upscaling a multi-spectral reflectivity image and a thermal infrared image to the same low resolution through a polymerization method, and constructing a new drought index according to the multi-spectral reflectivity image to represent the desert surface; c, carrying out temperature inversion on the preprocessed thermal infrared remote sensing image to obtain the surface temperature in the research area; d, taking a novel drought index, vegetation index, building indexand water body index as scale factors, establishing an earth surface temperature downscaling model with a random forest regression algorithm, and obtaining a high-resolution earth surface temperatureimage of the research area through the model; e, carrying out precision evaluation on the dimension reduction result. The method is beneficial for improving the dimension reduction precision in the desert area.

The invention discloses an infrared remote sensing water classifier construction method based on transfer learning. The method comprises the following steps: firstly, constructing a visible light remote sensing image (source domain) sample set with a label and an unlabeled infrared remote sensing image (target domain) sample set; secondly, extracting a local binary pattern feature of the visible light source domain sample, and training a support vector machine classifier in combination with a tag to initially classify the infrared target domain sample to obtain a pseudo tag of the infrared sample for simulating probability distribution of the target domain sample; based on a transfer learning theory, mapping the feature data of the source domain and the target domain into the same subspaceby taking minimization of a distribution difference distance between the source domain and the target domain as a target, and continuously optimizing a feature mapping matrix by correcting a pseudo label of a target domain sample; and finally, in the subspace, utilizing the optimized feature mapping matrix to transform the source domain feature data, and training a final infrared remote sensing water classifier based on the transformed source domain feature data and tags thereof.

The invention discloses a drought index construction method based on passive microwave remote sensing. The method comprises the specific steps that an inter-diurnal mask and an inter-monthly mask are constructed, and influences of mixed pixels of edges of a glacier, a snow cover and a water body on AMSR-E data during temperature retrieval are eliminated; a land surface temperature retrieval model is constructed through 10.8GHHz and 89.0GHz vertical polarization channel Tb of AMSR-E and used for performing retrieval on land surface temperature, wherein Tb is brightness temperature data of passive microwave remote sensing; a microwave normalized difference vegetation index model is constructed based on a microwave polarization difference index (MPDI); a dry edge equation and a wet edge equation of an MTVDI model are constructed based on the established land surface temperature retrieval model and vegetation index model; and the MTVDI model is established to simulate and monitor drought throughout the country month by month. The method has the advantages that the defect that visible light / near-infrared remote sensing is liable to influences of meteorological conditions is effectively overcome, and a great improvement is made to a TVDI model.

The invention puts forward a ship target detection method based on an infrared remote sensing image. The method comprises the following steps that: S1: carrying out water-coast separation on an infrared remote sensing image, and segmenting a sea area image which contains a ship target; S2: carrying out contrast enhancement processing on the sea area image obtained after the water-coast separation is carried out, highlighting the ship target in the image, and selecting the candidate area of the ship target according to the highlighted ship target; and S3: determining a ship suspected target in the candidate area, and extracting the ship target according to the personalized features of the ship. Under a situation of complex background interference including wind waves, cloud backgrounds, ship tracks, solar flares, islands and the like, the ship target can be accurately detected in real time.

The invention relates to an SST inversion method and system based on Landsat 8 data. The method comprises that Landsat 8 optical and thermal-infrared remote sensing images and corresponding atmospheric contour data are read; on the basis of water-body and seawater emissivity data and a spectral response function of a Landsat 8 TIRS (Thermal Infrared Sensor), the atmospheric contour is used for driving, and channel brightness temperatures in the aerosphere top of two channels of the TIRS under different combined conditions of atmospheric conditions, SSTs and emissivities are simulated; and the obtained total atmospheric column water vapor content is used to divide the atmospheric column water vapor content into intervals, a split-window algorithm is used to construct SST inversion algorithms of the different water vapor content intervals, the SST is calculated, and a result is output. The system comprises a remote-sensing image reading module, an atmospheric water vapor data reading data, a data processing module and an SST inversion module. The system and method can be used to obtain high-precision SST.

The invention discloses a method and apparatus for determining a surface temperature by use of middle-infrared remote sensing data. The method comprises the following steps: step A, determining surface bidirectional reflectivity of a twenty-second channel (3.929[mu]m to 3.989[mu]m) and a twenty-third channel (4.020[mu]m to 4.080[mu]m) by use of radiation brightness data and atmosphere parameter data of the twenty-second channel and the twenty-third channel of a middle-infrared wave spectrum zone of moderate-resolution imaging spectroradiometer (MODIS) data through a developed middle-infrared surface bidirectional reflectivity remote sensing inversion method; step B, by use of the surface bidirectional reflectivity obtained from the step A, through a developed surface direction ratio radiant ratio remote sensing inversion method, determining surface direction ratio radiance; and step C, by use of the middle-infrared surface bidirectional reflectivity and the direction ratio radiance respectively obtained from the step A and the step B, through a developed surface temperature remote sensing reversion method, determining the surface temperature. The method and apparatus provided by the invention effectively realize quantitative remote sensing inversion of the surface temperature through the middle-infrared data.

An imaging optical system consists of front lens combination with diffraction element and rear lens combination, and features that the diffraction element is flashing binary one with double central wavelengths in both 3-5 micron band and 8-12 micron band. the imaging optical systme has high transmission efficiency, is simple in structure and may be used in airborne carrier and satellite based remote sensing infrared system and other fields.

The invention discloses an image quality evaluation system and an image quality evaluation method, which overcomes the problem in operational running of the existing remote sensing satellite application system, that capacity for evaluating quality of a visible light / infrared remote sensing image product and content related to quality evaluation are insufficient, and provides a visible light / infrared remote sensing image product quality evaluation system, for solving the problem about quality evaluation during automatic production processes of visible light / infrared remote sensing image 0-4 grade products, and meanwhile solving the problem of judging whether the satellite visible light / infrared camera load has calibration requirement during the on-orbit period.

The invention provides a multispectral multi-focal-plane splicing infrared detector control and signal sampling circuit which comprises a time reference control module, a detector sequential control module, an analog-digital converter sequential control module, an infrared detector control module, an analog-digital converter data sampling module and an analog signal delay compensation module. According to the multispectral multi-focal-plane splicing infrared detector control and signal sampling circuit, a uniform control timing sequence is provided for controlling of multiple infrared detectors through interior timing sequence control logic, the infrared detectors can be controlled independently, and the fact that multiple infrared detectors can output data simultaneously is achieved. In a large field angle infrared remote sensing camera, imaging precision can be improved, image geometric distortion is reduced, design difficulty of a rear-end digital signal processing circuit is simplified, and application of the multispectral multi-focal-plane splicing infrared detector control and signal sampling circuit in the infrared remote sensing camera is achieved.

The invention discloses an image generating method based on infrared remote sensing data. The method comprises the steps that as for each picture element of an image of an actually measured infrared band, according to the brightness value of the picture element, the temperature of a ground object corresponding to the picture element is determined, and the equivalent emissivity of the ground object in the actually measured infrared band is determined; according to the temperature of the ground object, the radiation brightness of the ground object in a target infrared band is determined; according to the equivalent emissivity of the ground object in the actually measured infrared band, and a pre-built relation model of mapping relations of the equivalent emissivities of all the infrared bands, the equivalent emissivity of the ground object in the target infrared band is determined; the brightness value of the corresponding picture element in the image of the target infrared band is obtained by multiplying the radiation brightness of the ground object in the target infrared band by the equivalent emissivity of the ground object in the target infrared band. By applying the image generating method, utilization efficiency of image data of an existing infrared band can be improved, and cost is low.

The invention discloses a GIS based infrared remote sensing image ship detection method, which mainly comprises the steps of firstly finding out a sea-land boundary image block by using information ofa GIS library, and extracting feature vectors of the image; then performing clustering on the feature vectors of the image by using an improved k-means method to obtain a sea-land segmentation binaryimage of the image block; and finally performing sliding matching in the GIS library at the corresponding position by using the obtained binary image to find out a position with the highest matchingdegree to serve as an error value of coordinate calculation, performing coordinate correction by using the value, and acquiring a final sea-land segmentation result.

The invention discloses an infrared moving target detecting and tracking device, comprising an image acquisition module, a central processor module, an image processing module and an image display module, wherein the image acquisition module is connected to the central processor module through a PAL (Phase Alternating Line) interface and an image encoder and is used for sending acquired data to the central processor module; the central processor module is used for sending received infrared remote sensing image data to the image processing module and receiving data processed by the image processing module; the image processing module comprises a data receiving unit and a moving target detecting and tracking unit, wherein the data receiving unit is used for receiving the infrared remote sensing image data sent by the central processor module, and the moving target detecting and tracking unit is used for detecting and tracking a moving target and sending processed data to the central processor module; and the image display module is connected with the central processor and is used for receiving output data of the central processor module. According to the infrared moving target detecting and tracking device disclosed by the invention, the goals of detecting and tracking a trivial target with a motion characteristic under an infrared complex background can be achieved.

The invention belongs to the field of fire monitoring equipment and specifically relates to a video fire-alarm monitoring system and method. Conventional fire monitoring equipment is triggered only when the flame temperature is near 1000 DEG C or the flame climbs up to several meters high or only when great damage already occurs, which means the best time for firefighting is already missed. The video fire-alarm monitoring system of the invention comprises a fire source monitoring unit and a fire source information processing unit in connection with the fire source monitoring unit. The fire source information processing unit comprises an image recognition module, an artificial intelligence flame identification module, a flame identification database module and a fire source locating module. A suspicious fire source can be rapidly discovered by the infrared remote sensing technique, the fire-alarm level is accurately determined by means of image recognition and artificial intelligence technology, the location of the fire source is precisely calculated, and the corresponding alarm is simultaneously sent to monitoring personnel and the monitoring system, so that the fire can be put out the first time, thereby minimizing the loss.

The present invention relates to the application of automatic control technology, infrared remote sensing technology, computer communication technology, etc in rotational molding plastic product. The rotational molding apparatus includes optimized heating device, optimally designed fuel gas control system, etc. and the multiple point heating device and fuel gas flow control system consist of several heating nozzles, electromagnetic servo valve, flow control valve, infrared sensor, computer and other parts. The computerized fuel flow control system can monitor the temperature change inside the heating chamber of forming mold, cooperate the heating rates of the nozzles and realize closed-loop optimal control of the fuel gas flow rate to obtain high quality rotational molded plastic product.

The invention discloses a visible light temperature measurement method based on infrared target detection. The method mainly includes the steps of depicting a virtual thermal radiation image of a measured scene by using the infrared remote sensing technology, and then capturing the same scene to form a color image by using the visible light remote sensing technology; performing a series of processing such as filtering, edge outline trimming, stretching, scaling and cropping to make the imaging of each thing in the scene in the infrared image and the visible light image perfectly overlap proportionally; selecting a measured target object of interest in the visible light image by using a cursor and extracting coordinates of the measured object; and then calculating, through the infrared andvisible light image coordinate conversion formula, coordinates of the measured object in the infrared image, finally calculating the temperature of a measuring point by using a Planck radiation formula and performing superimposition onto the visible light image. In this way, the temperature measurement can be performed on any measured object of interest on the visible light image in a very simpleand direct manner.

The invention discloses a snow mountain detection method based on an infrared remote sensing image, and belongs to the field of remote sensing image processing. The method includes the following steps: Step 1, reading an infrared remote sensing snow mountain image to be detected, and performing saliency feature detection to obtain a saliency image; Step 2, extracting a highlighted foreground partin the saliency image to obtain a highlighted foreground image; Step 3, extracting local entropy texture features in the highlighted foreground image to obtain a local entropy texture feature image; and Step 4, performing binarization processing on the local entropy texture feature image, filling holes and searching the outline of a target region to obtain a final detection result image. The snowmountain detection method based on an infrared remote sensing image solves the problem that an existing snow mountain detection method has a relatively high requirement for image quality, relatively large calculation data volume, is not beneficial to the real-time monitoring of the snow mountain, and has relatively high false detection probability.

The invention provided a dim point target extraction method and device of an infrared remote sensing image. The extraction device includes an image registration module, a background clutter suppression module, and a point target extraction module; the image registration module registers a to-be-processed infrared sequence image to get an infrared sequence image after registration; the background clutter suppression module carries out background clutter suppression of the infrared sequence image after registration; and the point target extraction module carries out image data superposition of the infrared sequence image after the background clutter suppression, so as to obtain a point target with an enhanced signal-to-noise ratio. The method of the invention can improve the dim point target signal-to-noise ratio of the infrared remote sensing image and increase the detection probability.

The invention discloses a method suitable for infrared short wave load relative radiation correction of an outlet type remote sensing satellite. A 90-degree yaw calibration processing method on an on-orbit satellite is used; parameters required by the infrared remote sensing image are generated, include the relative radiation correction coefficient data files of different gains and different spectrum bands for establishing the quantitative relation between the numerical value quantized value of the output signal of each detection unit and the actual target radiation brightness value in the corresponding pixel of the detector, and eliminating the response inconsistency between the detection elements, so as to ensure the reliability and accuracy of the remote sensing data application.

The present invention provides a multiband flexible infrared optical system which belongs to an infrared optical system. The multiband flexible infrared optical system settles the following problems in the existing double-band optical system: narrow spectrum measurement wave band, limited optical path layout and large volume and large weight. The multiband flexible infrared optical system comprises an infrared scanning mirror, a multiband infrared lens, an optical path switching device, an optical path switching controller, an FPA interface and an optical fiber interface. The infrared scanning mirror can reflect 2-14 mu m infrared light in direction directions for coming into the multiband infrared lens. The multiband infrared lens is used for focusing the incident infrared light. The optical path switching device is arranged behind the multiband infrared lens and has a movable or rotatable structure. Furthermore the optical path switching device can perform beam splitting or time division modulation on the focused infrared light. The multiband flexible infrared optical system of the invention has advantages of: small volume, high integration degree, convenient use and high flexibility. The multiband flexible infrared optical system can be integrated in an automatic target identification system based on association of infrared image and the spectrum for realizing visual field scanning, target identifying and tracking. The multiband flexible infrared optical system is applied for infrared remote sensing detection.

The invention provides a novel multi-spectral imaging method and a device for a cassegrain telescope, which can be applied in the fields of multi-spectral laser radar, visible light and infrared remote sensing detection, environmental monitoring and the like. In the invention, the spliced cassegrain telescope is adopted for receiving multi-spectral light beams scattered from a target, the number of main lenses for splicing a primary mirror of the telescope is determined according to the number of the required detection spectra, and a bandpass filter is placed in front of each main lens for matching with the specific characteristics of the required detection spectra; and the light beam received by each main lens can produce an image on an image enhancer after the telescope, so that the imaging result on each spectrum of the same target can be finally obtained on a CCD (charge coupled device) camera. The structure is simple and flexible, and the images of the different spectra can be very easily obtained by using the different filters to be combined with the spliced cassegrain telescope.