Image processing method and device, computer equipment and storage medium
An image processing and image technology, applied in the field of image processing, can solve the problems of too many missing images, unsatisfactory number of changed areas, and unreal application, etc., to achieve the effect of improving accuracy and efficiency
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example 1
[0190] The embodiment of the present application discloses an image processing method and device. Example 1 includes an image processing method, including:
[0191] Inputting the first image and the second image into the corresponding encoding network for feature extraction to obtain feature data of different encoding levels;
[0192] Merge the feature data of the same coding level to obtain the target feature data of different coding levels;
[0193] performing superposition and decoding operations on the target feature data of different coding levels in sequence to obtain decoded data;
[0194] Difference data between the first image and the second image are determined based on the decoded data.
example 2
[0195] Example 2 may include the method described in Example 1, wherein, before inputting the first image and the second image into the corresponding encoding network for feature extraction to obtain feature data of different encoding levels, the method further includes:
[0196] Two remote sensing images at different times for the same area are received as the first image and the second image.
example 3
[0197] Example 3 may include the method described in Example 1 and / or Example 2, wherein said inputting the first image and the second image into the corresponding encoding network for feature extraction, and obtaining feature data of different encoding levels includes:
[0198] performing feature extraction on the first image and the second image in the corresponding encoding network to obtain the feature data of the first encoding level;
[0199] Feature extraction is performed on the feature data of the N-1th encoding level in the encoding network to obtain the feature data of the Nth encoding level.
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