High-resolution remote sensing image weak target detection method based on deep learning
A weak target detection, high-resolution technology, applied in the field of video image processing and target detection, can solve the problems of limited remote sensing image applications, easy occlusion of targets, low detection accuracy, etc., to improve the precision and recall rate, Improve image quality and improve detection accuracy
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[0036] The purpose of the present invention is to solve the technical problem of low detection accuracy in the methods in the prior art, and propose a method for detecting weak targets in high-resolution remote sensing images based on deep learning, and a multi-layer feature fusion model through a joint super-division reconstruction method The detection and recognition of weak targets in remote sensing images can improve the accuracy and recall rate of target detection in high-resolution remote sensing images through image quality improvement and multi-level fusion of effective features.
[0037] To achieve the above objective, the main idea of the present invention is as follows:
[0038] For remote sensing images with low resolution, small target size, and blurred quality, the WGAN-based super-division reconstruction method is first used to enhance the resolution of the image to enrich the detailed information of weak target features; input the image with enhanced quality to tar...
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