A crop interpretation method based on an SAR technology

Abstract

The invention belongs to the technical field of remote sensing data interpretation methods, in particular to a crop interpretation method based on an SAR technology. Aiming at the conditions that an optical remote sensing image cannot be used under the influence of thick cloud and other atmospheric conditions under extreme weather conditions, by a lot of experiment analysis, and by combining the high visual characteristics of the optical image and the high penetrability characteristics of the SAR image, and aiming at the condition that the optical image in a project research area is hardly used, the interpretation work such as the qualitative and quantitative interpretation of crop the types is completed through matching of the ROI features of the SAR time sequence images and the optical images, so that the problem that optical remote sensing images cannot be used under severe disaster conditions is solved, and the experiment extraction precision reaches 87.7%, the disaster conditionscan be rapidly and efficiently determined in disaster areas with severe weather conditions, and a new method is provided for accurate extraction and interpretation of crop disasters.

Description

technical field [0001] The invention belongs to the technical field of remote sensing data interpretation methods, in particular to a crop interpretation method based on SAR technology. Background technique [0002] The existing crop extraction and interpretation process usually includes the following steps: 1) Remote sensing personnel determine the type of crops to be extracted and the project research area; 2) Start collecting remote sensing images of the area (mainly optical images with a resolution of about 10 meters) , and then visually interpret the image and select ROI (Region Of Interest) as the sample data of the target extract; 3) Establish a decision tree to classify the image, conduct field surveys and verify the classified results, and Collect some samples in areas with low precision to correct the classification results, and finally complete the extraction of crops. [0003] Disadvantages of existing technologies: 1) When optical satellites acquire images, it ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the situation that the optical remote sensing images cannot be used due to the influence of thick clouds and other atmospheric conditions under extreme weather conditions, the patent of the present invention provides a crop solution based on SAR technology that uses the combination of SAR technology and optical images to interpret crop types and disaster-affected areas. This method combines the high-visibility features of optical images with the high-penetration features of SAR images, and completes the qualitative and quantitative interpretation of crop types through the combination of SAR time-series images and ROI features of optical images. It makes it possible to quickly and efficiently determine the disaster situation in the disaster-affected area with relatively harsh weather conditions, and extract accurate interpretation of the disaster situation of crops

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