39 results about "Satellite image processing" patented technology

Systems and methods for generating a crop yield estimate for an area as small as an individual field from images captured by a satellite are disclosed. The system generates simulations of crop yields in a region that includes the area by applying combinations of different parameters to a crop yield models. Observable quantities for simulated yields are determined from the simulations. The simulations and the observable properties are used to train a statistic model for the region that has two or more variables. Images captured by a satellite that include at least a portion of the area are obtained. Crop information is then determined from the images and weather information associated with the dates that the images where captured is obtained. The statistical model is then applied to the crop information and the weather information to determine a crop yield estimate.

The invention discloses a multi-source satellite image real-time online processing technical method and device. The computer network technology, the computer parallel technology, the computer multithreading technology and the image processing technology are comprehensively used for multi-source satellite image real-time online processing. The satellite image processing is fast, the computing resource use efficiency is high, and the data packet throughput rate is large. The multi-source satellite image real-time online processing technical method includes that a data packet is received on a high speed network, and the received data packet is organized to be an image; the organized image data are analyzed, and the analyzed image is subjected to storage format conversion and processing; the processed image data are continued to be compressed; and the compressed image data packet is sent back to the high speed network.

The invention relates to a moving ship detecting and tracking method based on satellite sequence images, and belongs to a video satellite image processing technology. The method in the invention comprises the steps of: continuously obtaining satellite sequence images including a moving ship, and inputting adjacent two frames of images; performing image registration on the two frames of images; calculating a difference image of the two frames of images, and calculating the multi-scale saliency map of the difference image; after extracting a binary foreground image based on the saliency map, respectively extracting moving ship areas in the two frames of images according to the gray difference of the background and the ship areas; matching the moving ship areas in the two frames of images, sothat a moving ship matching pair is obtained; and associating the moving ship by taking the intermediate frame in every three frames of images as the association frame, so that ship tracking is realized. According to the method disclosed by the invention, the multi-scale saliency map of the difference image is sufficiently utilized; the problems of target empty, many fine outlines and the like inthe difference image can be avoided; ship matching is carried out through every adjacent two frames of images; and ship tracking is realized by taking the intermediate frame in every three frames ofimages as the association frame.

The invention discloses an image edge extraction method and system based on a surface plasmon spatial light field differentiator. The conventional Fourier optical information processing is based on a lens system, wherein the lens system is large in structural size, and is not liable to be integrated. According to the invention, the surface plasmon spatial light field differentiator is designed, and the surface plasmon spatial light field differentiator is simple in design, wherein the thickness of the surface plasmon spatial light field differentiator is at a nanometer scale. The surface plasmon spatial light field differentiator is easy for large-scale preparation, can be integrated with a silicon-based device, and thereby achieves the processing of the image edge. The method comprises the steps: exciting the surface plasmon on a metal and medium interface based on the characteristics of a metal surface plasmon, controlling the spatial propagation leakage rate and the attenuation rate caused by the material loss to meet a critical coupling condition, and achieving the first-order differential processing of an inputted spatial light field, thereby completing the edge extraction of an input image. The edge extraction method provided by the invention is a superfast, real-time and large-flux image processing method, and is good in application prospect for medical and satellite image processing.

The invention discloses a multi-sensor remote sensing image matching method, which belongs to the technical field of satellite image processing and can effectively solve the problems of geometric deformation and radiation difference among multi-sensor images. Firstly, the Gaussian difference scale space of the image is established, and feature point detection is performed in this space. Then introduce a phase consistency model with illumination and contrast invariance, and expand it to construct phase consistency direction information. At the same time, with the help of the idea of ​​SIFT descriptor, use phase consistency eigenvalues ​​and feature directions to construct a local feature description Symbol—local phase coherence direction histogram. Finally, the Euclidean distance between descriptors is used as the similarity measure to identify the points with the same name, and eliminate the wrong matching points, so as to realize the precise matching of remote sensing images. Compared with the traditional matching method, the invention can more effectively overcome the geometric deformation and radiation difference between remote sensing images, and improve the accuracy of image matching. Mainly used for satellite image processing.

The invention discloses a monitoring method and system for hidden dangers of geological subsidence of power grid tower equipment based on SAR satellite data, which relies on SAR satellites to carry out wide-area geological subsidence monitoring on target areas, and analyzes and processes the monitoring results through a data processing module to obtain the target The long-term and slow geological subsidence in the region is superimposed on the GIS geographic information system of the power grid, and the information is automatically pushed according to the subsidence, voltage level and importance of the power grid tower equipment. The equipment operation and maintenance unit will feed back the site survey results to the system for continuous optimization The satellite image processing model and algorithm finally realize the visualization of the geological subsidence distribution of the power grid. The invention greatly reduces the workload of manual on-site measurement, shortens the acquisition period of geological subsidence results of the power grid, and realizes long-term, high-precision, large-scale and objective geological subsidence results of power transmission and distribution equipment in the power grid. The distribution and its occurrence trend provide support.