1367 results about "Satellite data" patented technology

Pipeline data and satellite data are used to provide surveillance for a pipeline. The satellite data is integrated with the pipeline data to produce a current pipeline map. The current pipeline map is then compared with a previous pipeline map to determine whether the route of the pipeline or a surrounding environment of the pipeline has changed. The satellite data includes very high resolution (VHR) satellite imagery and the pipeline data includes location data that is a series of global positioning system (GPS) coordinates.

A receiver for continuous carrier phase tracking of low carrier-to-noise ratio (“CNR”) signals from a plurality of radio navigation satellites while the receiver is mobile. The receiver may have: a radio frequency (RF) front-end that provides satellite data corresponding to signals received from the plurality of radio navigation satellites; an inertial measurement unit (IMU) that provides inertial data; and a processor circuit in circuit communication with the RF front end and the IMU, the processor circuit being capable of using satellite data from the RF front-end and inertial data from the IMU to perform continuous carrier phase tracking of low CNR radio navigation satellite signals having a CNR of about 20 dB-Hz, while the receiver is mobile. The receiver may be a GPS receiver for continuous carrier phase tracking of low-CNR GPS signals.

An animal containment system includes a receiver unit carried by the animal. The receiver unit includes a GPS receiver for receiving satellite data; a memory for storing a plurality of waypoints defining a boundary, a stimulation circuit; and a processor coupled with the GPS receiver and the stimulation circuit. The processor activates the stimulation circuit at a distance from the boundary when the animal is within the boundary, dependent upon animal positional variables, and deactivates the stimulation circuit when the animal is outside the boundary.

The invention discloses a method for scheduling satellite data product production tasks in parallel based on multithread. The method comprises the following steps: setting priorities for tasks to be scheduled for executing and realizing a uniformed interface; adding the tasks into a priority queue according to an order of the priorities from high to low; setting the maximum number and the minimal number of the tasks of a thread pool, and the longest idle time of a thread; and starting a daemon thread in the thread pool and a plurality of task threads to execute the tasks, wherein the daemon thread regulates the number of the task threads dynamically according to the situation of task amount. The method can utilize system resource rationally, aims at the data product production of a satellite ground application system, and solves the difficult points of complicated product production processes, long task executing time, large task amount, high real time and parallelism degree for scheduling the tasks and the like.

Multi-beam antenna array for anti jam and anti-spoof protection of GPS satellite data using multiple directional antennas disposed in various orientations jamming or spoofing signals from any direction cannot damage all said directional antennas simultaneously. Each said directional antenna connected to filtering amplifier and to multiple GPS processors for calculating direction of signal arrival. An anti-jam / anti-spoof processor comparing directions of signals arrival with real satellites positions for arrival time from data storage filters signals from jamming or spoofing signals, which are not corresponding to the correct positions stored for each satellite at the transmit time.

The invention provides an implement method of lightweight-class global multi-dimensional remote-sensing image network map service. The implement method comprises the following steps: a global geographic space pyramid model is constructed, and a Tile file encoding system is built according to the model; pre-treatment mainly comprising projection transformation, file format conversion and the like is performed on the remote-sensing data so as to cut the remote-sensing data into tiles, and file encoding is performed; according to a distribution strategy, Tile files are grouped to generate a corresponding directory structure, and different images are updated on different Web servers; the visible range of the map requested by a client side is analyzed to calculate the storage paths of all images within the visible range, and the images are loaded and fed back to the client side. According to the invention, the implement method of the light-weight-class global multi-dimensional remote-sensing image network map service can be provided for a remote-sensing data center (such as the China Center for Resources Satellite Data and Application) and can provide remote-sensing data service to users more conveniently.

Lossless compression techniques provide efficient compression of hyperspectral satellite data. The present invention combines the advantages of a clustering with linear modeling. A number of visualizations are presented, which help clarify why the approach of the present invention is particularly effective on this dataset. At each stage, the algorithm achieves an efficient grouping of the data points around a relatively small number of lines in a very large dimensional data space. The parametrization of these lines is very efficient, which leads to efficient descriptions of data points. The method of the present invention yields compression ratios that compare favorably with what is currently achievable by other approaches.

The invention discloses a stationary satellite-based fire remote sensing and monitoring method which solves the problem of automatic extraction of fire points in a forest and grassland, monitoring of a fire spreading situation and estimation of fire loss based on a stationary satellite. The method comprises the following steps: acquiring stationary satellite data, and calculating brightness temperature of image elements; judging latent fire point image elements from non-cloud and non-flare image elements in land image elements by using a method of a brightness temperature threshold value, and performing statistical judgment on the fire point image elements according to wave band information of background window image elements; culling out all-year-round high-temperature fire points based on a fixed fire point library and land utilization type data, and extracting positions and brightness temperatures of forest fire and grassland fire; providing a fire spreading situation sequence according to forest fire and grassland fire remote sensing and monitoring results of observation frequencies of the stationary satellite; estimating the loss caused by the forest fire or the grassland fire. The method disclosed by the invention quickly monitors a dynamic change of a disaster target, so that the efficiency for prewarning and emergently handling major disasters in China is further improved.

The invention relates to a satellite universal automatic testing platform and a data interaction method thereof, aims to solve the technical problem that existing satellite test equipment has poor universality and a low automation degree, and belongs to the technical field of satellite testing. The satellite universal automatic testing platform provided by the invention consists of a peripheral equipment layer, an intermediate service layer and a user terminal layer, wherein the peripheral equipment layer comprises measurement and control system automatic testing equipment, control system automatic testing equipment, CAN (Controller Area Network) monitoring equipment, plug-failure signal monitoring equipment and solar cell array simulating equipment, and is used for making a response to aremote control command of a comprehensive testing server, uploading the remote control command to a satellite, finishing signal collection of the satellite data simultaneously, transmitting a collected signal to the comprehensive testing server to perform signal processing and data storage. According to the testing platform and a data interaction way thereof, the rapid testing demand at each stageof the satellite is met; a system of satellite distribution test control and comprehensive integration management is formed, and universal and automatic satellite testing is realized. The satellite universal automatic testing platform has the advantages of high universality and high automation degree.

The invention discloses a high-sensitivity satellite navigation signal capturing method and a system. The system comprises a digital down-conversion module, an average sampling and block accumulation module, an FFT (fast Fourier transform) module, a circumference shifting module, a local PRN (pseudo random noise) code FFT conjugate memory, a complex multiplier module, an IFFT (inverse fast Fourier transform) module, a differential coherence integration module, a peak detection module and a sequential control module. The digital down-conversion module realizes digital down-conversion operation for satellite digital intermediate frequency signals; the average sampling and block accumulation module averagely samples satellite data and completes a block accumulation function; the FFT module searches code phase frequency domains; the circumference shifting module utilizes Doppler circumference shifting search to replace frequency compensation; the local PRN code FFT conjugate memory stores a local PRN code FFT conjugate result; the complex multiplier module realizes signal de-spreading; the IFFT module calculates different code phase coherence results; the differential coherence integration module accumulates differential coherence energy of de-spread satellite signals; the peak detection module realizes signal capturing output; and the sequential control module controls timing sequence of the various modules of the system. Weak signal capturing speed and sensitivity of a satellite navigation receiver are improved, and parameters can be configured flexibly.

An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

Aspects of the present invention relate to methods and systems for high-accuracy differential tracking of global positioning system (GPS) receivers. In one embodiment, a network having multiple receivers is provided. The receivers are configured to communicate with each other. The receivers in the network are configured to measure raw satellite data, and to share the raw satellite data measured by each receiver. Each receiver is configured to process the measured raw satellite data with a Peak Ambiguity Function Value (AFV) Tracking Solution (PATS) to track relative motions of the neighboring receivers so as to derive relative location information for the plurality of receivers.

A portable voice and data communications device capable of logging and transmitting position location data. The system consists of a transceiver and processor that receive, calculate, store, and transmit position location information from the global positioning system (GPS) and / or from a built in inertial navigation system (INS). The device has an emergency distress button that, when pushed by the user of the invention, sends an emergency distress notification, via cellular or satellite data communications links, to multiple preconfigured recipients as a text message and is represented on an internet based map display. The device can be configured to operate in two possible modes of operation. One mode of operation allows the user of the invention to constantly stream their position location information to the map display. The alternate mode of operation allows users to keep their location discreet with a position location data logging mode of operation that only transmits their existing location and a preset number of locations stored in the data logger when the emergency distress button is pushed. Upon activation of the emergency distress button, the device automatically defaults to the position location streaming mode of operation. Users of the invention may also be able to use the device for two way voice and text message communications in order to facilitate resolution of an emergency distress situation or for non-emergency communications.

The present invention provides systems and methods to automatically analyze Landsat satellite data of forests. The present invention can easily be used to monitor any type of forest disturbance such as from selective logging, agriculture, cattle ranching, natural hazards (fire, wind events, storms), etc. The present invention provides a large-scale, high-resolution, automated remote sensing analysis of such disturbances.

A scalable satellite data communication system that provides incremental global broadband services using Earth-fixed cells may begin with a limited satellite deployment that initially serves a limited number of Earth-fixed cells. The system has the flexibility to incrementally increase the number of Earth-fixed cells that are served, with minimal constraints on the relative locations of the cells on the Earth, by adding satellites of potentially greater complexity to the system. Backward compatibility with existing user terminals is achieved by maintaining the same satellite communication interface as with the already-deployed satellite constellation. Continuous and / or non-continuous service may be provided to selected Earth-fixed cells. Scheduled non-continuous service is particularly advantageous for bulk data transport services. Satellites may use simple mechanically-steered antennas. Communication links may be handed from one satellite to another when one satellite moves out of range and is no longer able to cover a selected Earth-fixed cell.

The present invention relates to systems, methods, and machines for tracking a fluid spill. The method includes obtaining real-time location data for a number of tracking devices from a positioning satellite data repository, integrating the location data of each of the tracking devices into a comprehensive spatial data repository, determining a deployment location for each of the tracking devices, identifying, responsive to the deployment locations, a fluid-spill subset of the tracking devices that were deployed in the fluid spill, determining a fluid spill location based on the geographic locations of the fluid-spill subset, and generating a geographic map depicting the fluid spill location. A new sensor-driven paradigm is used that combines practical data gathering methods with advanced enterprise information technologies. The sensor-driven paradigm provides real-time situational awareness to emergency responders and executive stakeholders working from remote locations during an oil spill or chemical fluid release.

The invention provides a multi-source information fusion based rainfall estimation method. The multi-source information fusion based rainfall estimation method includes: combining ground station observation rainfall data in a study area with a multi-source satellite rainfall data body in the study area to form a multi-source data set in the study area; establishing a dynamic Bayesian theory basedBayesian rainfall prediction model; using the maximum entropy method to obtain a nonlinear optimal solution of the Bayesian rainfall prediction model, and then determining the optimal weight and uncertainty information of each satellite data source; and generating an estimation result using the multi-source information fusion rainfall in the study area. The advantages of the invention are that theresult of multi-data source fusion analysis can reduce the uncertainty of the regional rainfall estimation due to the inaccuracy of a single type of rainfall information; and more reliable data inputand richer and more refined modeling data are provided for strengthening regional high-precision disaster warning, avoiding the flood risk or small watershed rainstorm flood estimation.

The invention relates to a remote crop growth status monitoring method based on a crop model and an assimilation technology, and belongs to a crop growth status monitoring and forecasting method. GF-1 satellite data serves as a main information source, general key technologies are applied, and growth statuses including NDVI, EVI and LAI are inversed under support of a basic product production sub-system of agricultural remote sensing; and the regional WOFOST crop growth model serves as the core, a remote-sensing growth status index or a crop output serves as an assimilation amount, an SCE-UA algorithm cost function is constructed, reversion assimilation for a growth status parameter aimed at GF-1 is formed, and thus, the crop growth status can be monitored and forecasted effectively.

The invention discloses an environment remote sensing application system, which comprises a business operation and management subsystem, an image processing and special product production subsystem, a data management and subscriber service subsystem, an environment ecology remote sensing application subsystem, a surface water environment remote sensing application subsystem, an environment air remote sensing application subsystem, and a ground data acquisition subsystem. In the invention, environment spatial data resources for supporting environment satellite remote sensing monitoring businesses are built, and the automatic processing of environment satellite data and automatic production of special data products are realized, the operation of environment remote sensing monitoring and a task-driven business model integrating business requirement, task schedule formulation and task execution are achieved, and the processing and application capability of environment satellite data is formed, therefore, the problems of lag construction and poor operation capability of a satellite application system are solved, the effective utilization of a satellite is comprehensively promoted, and the operation of environment remote sensing monitoring businesses is supported.

A path input system is provided. The path input system includes at least one imaging device for generating image data. A GPS device is included for generating satellite image data. A controller generates an aerial view of a vehicle and a trailer based on the image data and the satellite data. A display is included for displaying the aerial view and registering a touch event thereon that inputs an intended path for the vehicle and the trailer.

Systems and methods are disclosed herein for improving the sensitivity of satellite data decode in a satellite navigation receiver. The low signal ephemeris data decoding system of the present disclosure achieves a 5 db improvement in decoding sensitivity over conventional system by operating down to a CN0 of 21 dB-Hz. The improved sensitivity is achieved through a combination of reducing the number of data bits to be decoded, overcoming the inherent differential decoding problem of an all data bit polarity inversion, improving the probability of seeing single bit decoding error in an ephemeris word, running the parity correction algorithm, and reducing the undetected word error rate. The improved sensitivity makes it possible to predict the orbit of the satellite and to determine the receiver's location with higher accuracy even when operating in challenging signal conditions.

The invention discloses a method for determining the satellite differentia pseudo-range deviation based on single-frequency navigation satellite data, and relates to a satellite differential pseudo-range deviation determination and correction technology in satellite navigation applications. The method comprises the steps of A, acquiring single-frequency GNSS original observation data and obtaining precision satellite orbit and clock error products; B, building single-frequency GNSS non-combination pseudo-range and phase observation equations; C, building a single-frequency non-combination precision single-point positioning function model; D, solving single-frequency non-combination precision single-point positioning Kalman filtering; and E, performing ionospheric delay modeling and determining the navigation satellite differential pseudo-range deviation. Determination for navigation satellite differential pseudo-range deviation parameters is realized by using a single-frequency receiver, and the hardware cost of an existing navigation satellite differential pseudo-range deviation estimation method can be reduced by more than 90%. Meanwhile, the method is reasonable and simple in design and improves the efficiency. The design is not only low in cost, but also high in efficiency.

The invention relates to an ocean spilt oil film thickness hyperspectral remote sensing estimation method based on a parameter lookup table and belongs to the field of ocean environment monitoring research. The method includes the steps of obtaining and pre-processing standard oil film thickness continuous change hyperspectral data by designing a simulation experiment; obtaining and pre-processing ocean spilt oil satellite remote sensing data; resampling a standard oil film spectrum based on a satellite sensor performance index; normalizing spectral reflectivity; building an oil film thickness optical calculating model; building an attenuation parameter lookup table; normalizing the reflectivity of satellite data and conducting mask treatment; inquiring and building an optimal wave band of the satellite data and relevant parameters; and calculating the oil film thickness in the satellite data through the parameter lookup table and the optical model. Compared with a traditional observation means, by means of the ocean spilt oil film thickness hyperspectral remote sensing estimation method, field workload is less, the thickness of the spilt oil film can be quantized, the thickness of an oil film in a spilt oil area can be calculated without entering an ocean spilt oil pollution area, and requirements of ocean split oil emergency monitoring and evaluation can be met.

The invention discloses a grassland dry matter mass remote sensing estimating method, which belongs to the field of remote sensing application. The method comprises the following steps of: collecting and processing field test data; downloading and processing Modis (Moderate Resolution Imaging Spectroradiometer) satellite data; analyzing and modeling the data and detecting the accuracy and the like. The method for establishing a ground spectrum model for predicating ground dry matter mass and correcting a Modis spectrum model through ground hyperspectral experiments is different from the method for directly predicating biomass liveweight by using NDVI (Normalized Difference Vegetation Index) data of the Modis remote sensing satellite in other like researches so that the grassland dry matter mass remote sensing estimating method is helpful for improving the predicating accuracy, is beneficial for scientific management and reasonable utilization of the grassland resources and has important practical significance in correct evaluation of the real productivity of the grassland and the sustainable use of the grass resources.

The invention provides a city large-area road network traffic sensing method based on the plough satellite. The city large-area road network traffic sensing method comprises the steps of preprocessing plough satellite data; structuring a basic space road network; matching a plough satellite coordinate map; speculating driving routes; calculating the road segment average travel speed; supplementing historical data; correcting the road segment average travel speed; calculating road segment traffic operation indexes; judging road segment traffic state levels. According to the city large-area road network traffic sensing method, the traffic states within a large-area range of the road network are sensed by structuring a plough satellite data preprocessing model, a vehicle coordinate matching index model, a vehicle route planning module and a road segment traffic operation index model, the deviation of city road network plough satellite positioning is lowered under the high-rise building traffic environment, the collection and distribution accurate of city road traffic states are improved, and the traffic operation efficiency and the service level of the city road network are increased.

The invention discloses a calculation method for large spatial scale vegetation coverage by combining with an unmanned aerial vehicle (UAV) image. The calculation method comprises the following steps: carrying out atmospheric correction and geometrical correction on a remote sensing image, calculating NDVI (Normalized Difference Vegetation Index) and obtaining an effective region according to a predetermined threshold value; splicing UAV pictures and obtaining an orthoimage, registering satellite data subjected to geometrical correction with the spatial position, selecting a typical sample area from the UAV image, and interpreting proportions of all ground objects in the typical sample area by using unsupervised classification; randomly selecting one part of the sample area, and solving the reflectivity of all ground object end elements by using the proportions of all the ground objects in the sample area and the corresponding satellite remote sensing band reflectivity and combining with a least square method; solving the vegetation coverage of all pixels in the effective image area by using a spectral decomposition model and the reflectivity of all the ground object end element; correcting calculation results of the vegetation coverage by using data of a residual sample area. The core of the calculation method disclosed by the invention is based on a method of acquiring the end-element reflectivity of the UAV and a vegetation coverage correction model, and the calculation accuracy of the large spatial scale vegetation coverage can be effectively improved.

The invention provides a multi-source data fusion and environmental pollution source and pollutant distribution analysis method. Specifically, the method is mainly composed of data preprocessing, aerosol retrieval, and PM 2.5 inversion; the data preprocessing performs a series of processing on original remote sensing data, outputs data that meets requirements of model operation to be utilized as adata basis of an inversion module, and performs preprocessing operation on the atmospheric remote sensing data used by remote sensing monitoring, and a process of the data preprocessing involves a geometric correction and radiation correction method, a high-precision image registration method, a multi-source satellite data fusion method, cloud removal and shadow processing, and an atmospheric correction link; and the method utilizes GF series data as a main remote sensing data source, combines ground monitoring equipment, develops remote sensing monitoring of particulate matter PM 2.5 and draws a thematic map, and provides remote sensing technology and information support for air quality monitoring and management work of Beijing-Tianjin-Hebei regions.

The present invention relates to a satellite IP multicasting system and method for constructing an IP multicast network by a unit of internet node having a router for subscriber connection or a switch, and for transmitting a multicasting packet transmitted from a content provider into a local IP multicast network via a satellite. The satellite IP multicasting system features a backbone network, a content provider, a satellite network and a local network. The local network, which is interworked with the backbone network, is configured to multicasting protocol at a router or a switch, performs reverse path forwarding by static multicasting routing setup on a router or a switch connected to the satellite network via Ethernet and on a subscriber router or by IP designation of the same sub-net with source address of IP header of the multicast packet to an output port of a satellite data receiver and a port of a router connected to the satellite data receiver, and transmits the multicast packet into a terminal client.

The invention provides a method for distributing satellite receiving tasks. The method comprises the steps of decomposing the satellite receiving task planning problem by the divide-and-conquer method; decomposing the satellite data receiving task problem under a large task quantity into a plurality of sub-problems under a small task quantity; optimally configuring a ground receiving resource of each satellite data receiving task of each conflict task set by the genetic algorithm by considering the satellite-earth resource limitation, so as to reach the purpose of fully utilizing the ground receiving resource. According to the method, the parallel strategy of dividing and conquering is carried out to greatly increase the satellite receiving task planning efficiency; in addition, the genetic algorithm is performed for the satellite receiving task planning problem under each small task quantity, and therefore, the ground receiving resource is quickly and fully distributed, and the optimal satellite receiving task planning scheme can be obtained. According to the method, the automatic mode is performed, so that the brain power of operators can be relieved, and the planning efficiency and the capacity of responding to the emergency task can be greatly increased.