| abstract |
The invention discloses a method for detecting the validity of Gaofen-6 remote sensing satellite data oriented to ground objects, and relates to the technical field of satellite remote sensing. The validity of the data; the remote sensing image is divided into blocks, and then detected based on the image blocks; the Gist image features are extracted from the image blocks, and then classified on the SVM classifier based on the GIST image features; for the classification results obtained by SVM classification, According to different situations, different detection processes are selected for detection respectively; the present invention can effectively detect the coverage of interfering factors such as clouds, shadows, snow, etc. for any size of Gaofen-6 remote sensing satellite data, and can quickly and accurately detect the image data effectively. According to the performance evaluation, the typical feature target extraction is performed on the images that meet the requirements, which effectively improves the efficiency of target extraction. |