167 results about "Orthophoto" patented technology

A system for broad area geospatial object recognition, identification, classification, location and quantification, comprising an image manipulation module to create synthetically-generated images to imitate and augment an existing quantity of orthorectified geospatial images; together with a deep learning module and a convolutional neural network serving as an image analysis module, to analyze a large corpus of orthorectified geospatial images, identify and demarcate a searched object of interest from within the corpus, locate and quantify the identified or classified objects from the corpus of geospatial imagery available to the system. The system reports results in a requestor's preferred format.

The invention discloses a three-dimensional optimizing route selection method based on an airborne laser radar. The method comprises the following steps of: carrying out flight design according to a feasible route of a line, and acquiring flight field data by the laser radar according to design parameters; carrying out united computation on laser ranging data and POS system positioning data to obtain laser point cloud data through pre-processing the data; post-processing the data to obtain a point cloud classification map, a digital elevation model (DEM), a digital surface model (DSM), a contour line and a digital orthoimage map (DOM); importing into a three-dimensional optimizing route selection system, selecting a line route, checking peripheral landform of a line corridor, and carrying out optimization design on the line; combining with a three-dimensional image and a plane section, carrying out operations of pre-arranging poles and arranging poles in a route selection software, and outputting an image route diagram; and drawing the plane section of the route, and carrying out alignment survey. The method utilizes the section view and the orthoimage in the three-dimensional optimizing route selection system to realize the operations of pre-arranging the poles and arranging the poles, so as to generate a plane section diagram needed by power industry department, and the operation efficiency of route selection is improved.

A method and system are disclosed for creating a real-time, high accuracy mosaic from an aerial video image stream by applying orthorectification of each original video image frame using known ground control points, utilizing a photogrammetric model resolving the object image into pixilation, applying shading to the pixellation, and mosaicking the shaded pixilation of several orthorectified images into a mosaicked image where the mosaicked image is then scaled to the known original image dimensions.

The invention provides a road marking line extracting method based on a forward camera head in automatic driving. The method comprises steps of obtaining a normal incidence view of a road marking line in front of a current vehicle via reverse perspective transformation; restraining an initial threshold value of current solving road segmentation according to parts of prior knowledge formed based on normal running modes of vehicles; by using the initial threshold value, segmenting the normal incidence view; judging the parallel property presented by edge pixel points and the equidistant property presented by a projection histogram; and extracting road marking lines including lane lines, road traffic signs, vehicle stop markings and zebra marking lines. According to the invention, execution speed is fast; by operating the projection histogram, effects on detection and extraction imposed by incomplete image details can be reduced; robustness of the extracting method is improved; constraints on few prior knowledge are increased; and by adopting the approximate, divide-and-conquer and dimension reduction technological means, the range of the extraction precision is further reduced and processing of sub-regions of parts of road scenes is inhibited.

A method is disclosed for generating an orthorectified tile. In at least one embodiment, the method includes retrieving source images obtained by way of a terrestrial based camera; retrieving position data associated with the source images; retrieving orientation data associated with the source images; and converting source image by means of corresponding position data and orientation data to obtain the orthorectified tile. Orthorectified tiles are used to generate an orthorectified mosaic. As such, images recorded by terrestrial based camera may be used to generate a map of a road surface with corresponding road signs.

The invention provides a method for rapidly constructing a three-dimensional building scene through an actual projective image, which concretely comprises following steps of: firstly, extracting the top surface of a building through the actual projective image, obtaining a plane vector diagram, and simultaneously obtaining a vector plane coordinate; secondly, respectively carrying out building top surface triangularization process and ground polygonal triangularization process for the plane vector diagram obtained from the first step and generating a building model and a ground model through combining digital surface model data and digital height model data; thirdly, combining the building model and the ground model to form a three-dimensional scene model; fourthly, carrying out veining mapping superposition for the three-dimensional scene model and the actual projective image and generating the three-dimensional building scene. The method accelerates the modeling speed of the three-dimensional building scene and reduces the manual operation time of modeling mapping design. When the method is used, once modeling and vein mapping can be carried out to a specific zone; true and effective three-dimensional visual effect is obtained; and the working capacity of scene modeling is greatly lowered.

Embodiments of the present invention include a method and system for overlaying orthorectified aerial images with map information tied to a state plane coordinate system. Computer media storing a computer program implementing an embodiment of the method of the present invention is also disclosed.

Systems, apparatuses, and methods are provided for refining an aerial image. A plurality of aerial images is received using a processor. The plurality of aerial images is developed into a three-dimensional model. The three-dimensional model is synthesized into an improved orthophoto image. The improved orthophoto image may be stored on a personal computer or workstation as a reference platform.

The present invention relates to a method for generating an orthophoto image. The method can be used to utilize an orthophoto image mainly for creation of a topographic map or as a photographic map.[Problem to be solved] An object is to provide a method for generating an orthophoto image that can realize relatively easy image capturing and generation of an orthophoto image with high image quality. A further object is to provide an image capturing device suitable for image capturing utilizing the method for generating the orthophoto image.[Means for solving problem] The method includes divisionally-capturing a target region from a platform such as an airplane (1) by rendering viewing angles as being different from each other as well as rendering a focal length (f, f′) as being different with reference to a predetermined ground resolution, thereafter generating an elevation model (5) of the entire target region (1) in accordance with matching of elevation models (3, 3) generated based on respective divisionally-captured images (2) between image capturing overlap regions (4), and generating an orthophoto image of the entire target region by applying an orthogonal projection transformation processing to the respective divisionally-captured images (2) by use of altitude information of the elevation model (5).

The invention provides an indoor parking lot high-precision map generation device and method. The device comprises a device support, a wide angle camera, a single line laser radar, a dead reckoning sensor and a main control computer, wherein the wide angle camera is used for ground image data of a parking lot so as to generate a final orthophoto map; the single line laser radar is used for collecting environment structure information in horizontal direction of the parking lot, and the environment structure information serves as input of a simultaneous positioning and map creation algorithm to serve positioning and map creating; the dead reckoning sensor is used for being combined with a vehicle model of a collection vehicle to predict the pose of the collection vehicle, and the data obtained by the dead reckoning sensor also serves as input of the simultaneous positioning and map creation algorithm; and the main control computer is used for collecting data of each sensor, obtaining positioning information according to the simultaneous positioning and map creation algorithm, establishing a corresponding sequence of orthophoto map and pose and generating a parking lot high-precision map. According to the invention, the simultaneous positioning and map creation technology is utilized to solve the positioning problem of an indoor environment, and indoor parking lot high-precision map creation is realized.

The invention relates to a landslide emergency treatment engineering exploration design method based on remote sensing assistance of a small unmanned aerial vehicle. The method is characterized by comprising the following steps: rapidly acquiring a high-definition picture of a landslide engineering region in field by using a small unmanned aerial vehicle remote sensing system; generating an orthophoto remote sensing result of the landslide engineering region through digital photogrammetry software processing; making a large-scale line global map by using the orthophoto remote sensing result; carrying out indoor visual auxiliary engineering geological investigation based on an orthophoto and a three-dimensional model; programming a visual conventional engineering geological map according to an on-site engineering geological investigation result; carrying out an auxiliary treatment engineering design based on the visual engineering geological map; programming a visual and conventional landslide emergency treatment engineering design plane map.

The invention discloses an automatic geometric correction and orthorectification method for multispectral remote sensing satellite images of a mountainous area. The method comprises the following steps of: selection and splicing of reference images; automatic selection of object points with same names; screening of the object points with same names, and geometric correction and orthorectification for correcting the images; precision evaluation; and output of the images. The multispectral remote sensing satellite images of the mountainous area, such as images of China domestic environment and disaster monitoring small satellite (with the model HJ-1A / B), have the characteristic of serious geometric distortion, but the automatic geometric correction and orthorectification method can be used for performing the orthorectification on the multispectral remote sensing satellite images of the mountainous area in mass and generating residual error reports of the coherent images by adopting a concept of the object points with same names to implement the geometric correction and orthorectification. The automatic geometric correction and orthorectification method has the advantages of high efficiency and precision, is very efficient when being used for processing the multispectral remote sensing satellite images with mass data of the mountainous area, can remarkably save manpower and material resources needed by the conventional remote sensing image processing process, and particularly is beneficial to the processing of the images of the China domestic environment and disaster monitoring small satellite.

The invention discloses a method of extracting a three-dimensional axis of a tunnel based on a minimum bounding box algorithm. The method comprises the following steps of: extracting point cloud slices of a lining ring by virtue of the minimum bounding box algorithm of the tunnel with variable-angle step length; then, fitting the extracted point cloud slices according to an oval or circular model to solve coordinates of a center, and performing smoothing processing on the tunnel axis by adopting a horizontal-curve second-order continuous and a longitudinal-curve second-order continuous method; and finally, obtaining high-precision three-dimensional central axis of the tunnel. The method disclosed by the invention has the advantages that the three-dimensional axis of a single targe structure is automatically extracted by utilizing three-dimensional laser scanning original-point cloud data based on the minimum bounding box algorithm; the method is high in precision, high in speed, and capable of being used in tunnel axis detection, diameter convergence extraction, production of orthoimages, and the like. Besides, the defect that the tunnel design axis or actually measured axis is needed to be pre-input in the conventional processing method can be avoided, so that the automation degree of the data processing is greatly improved.

A method for rigorously reshaping a pair of overlapping digital images using a Digital Photogrammetric Workstation (DPW) is disclosed. The overlapping images are imported into the DPW as a pair of originally distorted images having an associated sensor model. The original images are triangulated to adjust sensor parameters. Orthophotos are created with a flat digital terrain matrix (DTM) to leave terrain displacements within themselves, and according to a sensor model and formula for exact projective computations. The orthophotos are aligned by rotation, and interior orientation coordinates of the equivalent vertical frame images are determined. The orthophotos are imported as a pair of overlapping equivalent vertical frame images according to the interior orientation coordinates. A digital terrain model is generated in the DPW using the overlapping equivalent vertical frame images. Another orthophoto is produced using the digital terrain model to remove the measured terrain displacements. In an alternative embodiment, the equivalent vertical frame images are aligned by using the classical pair-wise rectification method or by separately rotating each image without aligning the orthophotos by rotation during their creation. In each embodiment, the sensor model of the original distorted images is dissociated from the orthophotos for subsequently greater distribution and usage of the stereo imagery.

The invention discloses an InSAR (Interferometric Synthetic Aperture Radar) block adjustment interferometric parameter calibration and control point densification method. The method comprises the following steps of: (1) acquiring untwisting results of all interferometric figures; (2) resolving orbital parameters, baseline parameters and interferometric phase offsets by adopting a block adjustment method according to the acquired interference figure untwisting results by utilizing homonymic connecting points in an image overlay region and ground control points within an image coverage range and encrypting the control points used for interferometric processing; and (3) reconstructing a DEM (Dynamic Effect Model) and manufacturing an orthophotomap. In the method, the block adjustment method is used for carrying out the interferometric parameter calibration of large-area multi-set InSAR data, which can effectively reduce the quantity of the ground control points required by the interferometric parameter calibration of the large-area multi-set InSAR data, improve the property of the interferometric parameter calibration, reduce the difference of inversion elevations at overedging parts of different interferometric data, improve the whole consistency and continuity of acquiring the DEM and the orthophotomap and encrypt out a large quantity of ground control points used for the interferometric processing.

A system for broad area geospatial object recognition, identification, classification, location and quantification, comprising an image manipulation module to create synthetically-generated images to imitate and augment an existing quantity of orthorectified geospatial images; together with a deep learning module and a convolutional neural network serving as an image analysis module, to analyze a large corpus of orthorectified geospatial images, identify and demarcate a searched object of interest from within the corpus, locate and quantify the identified or classified objects from the corpus of geospatial imagery available to the system. The system reports results in a requestor's preferred format.

The invention discloses a method for determining automatically mosaic line of orthophoto and performing automatic seamless mosaic of orthophoto, including selecting the optimum route to evade obstacle area in a difference image using the positive feedback of ant algorithm and elicitation type search characteristic of swarm intelligence; obtaining the mosaic lines of two orthophotoes to be spliced, performing mosaic fusion to the orthophoto pairs using the mosaic lines, thereby implementing the automatic seamless mosaic of orthophoto. The method which determines automatically the position of mosaic lines in the orthophoto mosaic process is capable of improving greatly the production efficiency of orthophoto map in mapping industry by replacing the prior method for determining or modifying mosaic lines manually, in which the mosaic lines evades automatically ground feature higher than the ground, such as houses, crown of trees, and the like, and evades the areas with large contrast of imaging colors in adjacent orthophoto maps.

The invention discloses a dynamic compensation method for attitude angle errors of an optical remote sensing satellite based on ground navigation. The dynamic compensation method includes the following steps: (1) performing effectiveness processing on ephemeris data and attitude data downloaded from the satellite, namely eliminating outliers points in the data and re-determining the values of the points; (2) determining an extracting range of control points on a first level image which is an image corrected by radiation, determining an extracting range of control points on a reference image according to the extracting range on the first level image and data after processing in the step (1), intercepting the extracting ranges on the first level image and the reference image respectively, and generating one sub-image of the first level image which is an image subjected to radiometric correction and one sub-image of the reference image which is an orthoimage; (3) performing automatic pairing of the control points by adopting intercepted the sub-images of the first level image and the reference image, and eliminating mispairing points; (4) selecting at least 3 pairs of homonymy control points with different sequence orders and smallest Euclidean distances apart from a scenario center from the sub-images of the first level image and the reference image, and calculating attitude angle errors; and (5) performing compensation on an attitude angle of the optical remote sensing satellite by adopting determined attitude angle errors.

The invention relates to a quick splicing method for a large-area-array submeter-level night scene remote sensing image. The quick splicing method comprises the following steps that: S1: carrying outrelative radiation correction; S2: removing isolated noisy points; S3: carrying out non-control block adjustment based on RPC (Remote Position Control); S4: carrying out light and color uniformity processing; and S5: carrying out ortho-rectification and image resampling based on the RPC. By use of the quick splicing method for the large-area-array submeter-level night scene remote sensing image, an original image is subjected to the relative radiation correction, image denoising, the non-control block adjustment based on RPC, light and color uniformity, the ortho-rectification based on the RPC, the image resampling and the like to obtain a large-range night scene remote sensing splicing image. In addition, through GPU (Graphics Processing Unit) acceleration, the quick processing of an algorithm is realized, the accuracy of the algorithm is guaranteed, processing speed is greatly improved, the algorithm is simple and easy in implementation, and the algorithm can be easily directly applied in engineering processing.

The present invention discloses an unmanned aerial vehicle (UAV) motion target tracking and positioning method under geographic information space-time constraint. The method comprises the steps of: acquiring angle elements of exterior orientation and line elements of exterior orientation of an aerophotograph according to UAV POS data; conducting geometric correction on the aerophotograph by combination with the altitude data to obtain an orthoimage; conducting accurate rectification on the orthoimage by using a basic image in a basic geographic information database, so as to obtain the mapping relation of the geometric correction coordinate and the geographic coordinate of the orthoimage; selecting a target to be tracked namely an initial target on a first frame of the orthoimage; tracking the target frame by frame on an orthoimage sequence; and splicing the orthoimage sequence and displaying a motion trajectory of the target. The invention increases the precision and reliability of tracking and ensures the stability of target tracking.

A method, system, and computer readable medium for producing orthoimages of the images of a (typically) high-resolution imager of an urban area, the orthoimages of high buildings being imaged with improved accuracy by increasing constraint conditions on the building edges, such as perpendicularity, collinearity. These constraint conditions are merged into an orthorectification model for orthorectifying the images captured at a predetermined elevation, whether by airborne or spaceborne. Constraint conditions may be formed by the building edge points, such as corners, and may be used with a digital building model. Thus, an aspect of embodiments is that the constraint conditions may be directly formed from the building themselves. The higher the buildings, the more effective the constraint controls.

The invention discloses a method for measuring a leaf area by manually shooting. Aiming at the defects that the conditions required by shooting the leaf images are hardly met in the open air and the effect on image post-processing is poor, and the like in the prior art, the invention provides the method for measuring the leaf area by manually shooting. When a leaf plane image is acquired, the leaf is placed on a standard template with standard control points; image inversion is performed on the shot image on the basis of correspondence of the standard control points between coordinate positions on different images and spatial relationships, and orthographic images of the shot images are acquired; and each leaf image area in the acquired orthographic images is calculated by using the image processing software. Compared with the prior art, the method has the advantage that: the needed equipment is particularly simple and convenient to carry when the method is implemented, manual shooting is performed by only using a common digital camera during the leaf shooting, the image post-processing only needs conventional software, the measured result is accurate and credible, and the error can be controlled. The complete set of the method for measuring the leaf area by manually shooting is particularly suitable for the requirement on field survey.

An automatic ortho-rectification method based on a remote-sensing image of an environmental No.1 satellite comprises the following steps of: (1) eliminating projection distortion caused by ground fluctuation in a reference image according to a geometric projection transformation principle to generate a simulated projection image; (2) finding possible feature points in the reference image and an original image by utilizing a Harris corner extraction algorithm; (3) finding possible homonymy points on the basis of the step (2) with a correlation coefficient method; (4) solving a relation coefficient between the reference image and the original image by using a polynomial model based on least squares; and (5) correcting the original image by utilizing the relation coefficient between the reference image and the original image, and eliminating the distortion caused by the ground fluctuation according to the geometric projection transformation principle again, so as to finally finish ortho-rectification. The method has the characteristics of high automation degree, no need of manually selecting control points, high correction precision and high production efficiency.

The invention provides an aerial image three-dimensional modeling method and a related product. The method comprises the following steps: obtaining an orthoimage and at least four slanted images, obtaining position information, and importing the position information to the orthoimage and the at least four slanted images; carrying out aerial triangulation on the orthoimage and the at least four slanted images to generate image exterior orientation elements, and recovering postures of the images during shooting; adopting a motion recovery structure for the primarily-treated orthoimage and the primarily-treated at least four slanted images to generate three-dimensional dense point cloud; serving curvature abrupt change points on a mesh of the three-dimensional dense point cloud as feature points, carrying out targeted grouped connection on an unordered feature point set and extracting a characteristic line of the initial position; and carrying out triangle folding simplification and feature preservation processing on the characteristic line of the initial position and outputting and obtaining a three-dimensional model. The technical scheme has the advantages of improving modeling efficiency and stability.

The invention discloses a silt tidal flat topography evolution method based on an oblique photographing three-dimensional reconstruction technology. The silt tidal flat topography evolution method comprises the following steps: planning an air route of an unmanned aerial vehicle in a target measurement region of a tidal flat and distributing and uniformly driving positioning piles in the region; fixing a flying disc on the piles to be used as a control point; carrying out static data acquisition on the control point by adopting a GPS (Global Positioning System); acquiring aerial photographs ofthe region by utilizing the unmanned aerial vehicle; generating a point cloud and an ortho-image of the region through the photographs photographed by the unmanned aerial vehicle by utilizing three-dimensional modeling software; identifying a water ponding region from the ortho-image and eliminating the water ponding region from point cloud data; coupling acquired static data into the processed point cloud data and establishing a three-dimensional model of the region, so as to obtain tidal flat elevation information of the region; verifying model errors by utilizing a Rod-SET system; carryingout periodic monitoring modeling on the same region, so as to monitor scour and silting evolution of the region. The silt tidal flat topography evolution method disclosed by the invention has the beneficial effect that the elevation precision of topography measurement reaches a centimeter grade.

The invention discloses a county remote-sensing scale-oriented crop planting area information extraction method and device. The method comprises the following steps: preparing an orthophoto map subjected to ortho-rectification; setting segmentation scale parameters according to terrain texture and shape features, and selecting the optimal segmentation scale for performing scale segmentation, so that the segmented plot has the same terrain object attribute; selecting a plot with a typical example as a sample object; establishing a subordinating degree function comprising a vegetation index feature function, a texture feature function and a shape feature function at least; performing rule classification review; extracting the crop planting area information; saving classification results. According to the method and device disclosed by the invention, the crop information extraction accuracy and efficiency can be improved.

The present invention relates to a seam line network generating method suitable for convex polygonal image effective ranges during mosaic of multiple digital orthophotos in an area range, comprising the following steps: obtaining an effective range of each orthophoto, and expressing the effective ranges with convex polygons; calculating segmentation lines between adjacent images; calculating an effective mosaic convex polygon of each image; and generating a seam line network. With the steps, mosaic treatment can be implemented on the basis of the generation of the seam line network; pixels contributing to mosaic in every image, seam lines relating to every image and images relating to each seam line can be conveniently obtained and a mosaic result can be directly generated; flexibility and efficiency of the mosaic can be guaranteed and error accumulation as well as intermediate results can be avoided, and a treatment result is independent of orders of the images. With the seam line network generating method, a problem of generating the seam line network for convex polygonal image effective ranges during mosaic of multiple digital orthophotos in an area range can be effectively solved.

The invention relates to a construction method of a dual-mode three-dimensional terrain stereo environment, belonging to the field of the electronic technology of computer graphics. The method generates a stereo auxiliary image stereo landscape based on an orthographic stereopair and a dual-mode three-dimensional stereo environment organically combining virtual three-dimensional geographical landscapes based on DEM (digital elevation model) and orthoimage through a unified data organization mode by use of the basic data such as orthoimage, stereo auxiliary image, DEM and the like, and realizes the linkage roaming, seamless switching and information interconnection of two three-dimensional environments under the drive of data scheduling and landscape roaming engines; and a user can perform basic information inquiry and space analysis operation in the two landscapes. Through the invention, the constructed dual-mode three-dimensional terrain environment has the characteristics of flexible interaction, vivid effect, strong immersion, high measurement precision, diverse information acquisition and expression modes and the like.