Satellite image aircraft target model identification method based on super-resolution

Abstract

The invention discloses a satellite image aircraft target model identification method based on super-resolution, which comprises the following steps: performing super-resolution reconstruction on an acquired satellite image to obtain a super-resolution reconstructed image; processing the super-resolution reconstructed image through a region screening network to obtain a candidate frame image; inputting the candidate box image into a pre-trained super-resolution reconstruction target identification network for target identification to obtain a target identification result; wherein the super-resolution reconstruction target identification network is obtained by alternately training a super-resolution adversarial generative network and a classification identification network and continuouslyoptimizing by utilizing an incremental learning method. According to the method, the super-resolution adversarial generative network and the classification recognition network are alternately trained,the recognition model is continuously optimized by utilizing an incremental learning thought, the target recognition network with high generalization ability is obtained, and the application range and the recognition accuracy of the recognition network are improved.

Description

technical field [0001] The invention relates to the technical field of image processing, and more specifically relates to a super-resolution-based satellite image aircraft target model identification method. Background technique [0002] In recent years, with the advancement of aerospace technology, the means of satellite image acquisition have become increasingly mature, and the resolution of images, including time resolution, spatial resolution, radiation resolution and spectral resolution, is constantly improving. At present, remote sensing has broken through the bottleneck of data acquisition and is moving towards a new stage of comprehensive application, laying a data foundation for aircraft target type identification. [0003] With the rapid development of computer vision and artificial intelligence technology, image target detection and recognition technology has become a research hotspot and is widely used in all aspects of life and work. Especially in the military ...

AI Technical Summary

Problems solved by technology

[0010] (3) The scale of aircraft targets is small, and there are often only a few or a few pixels on lower-resolution images, which cannot detect or identify aircraft, which limits the application of deep learning recognition algorithms; on existing high-resolution satellite images , the outline and boundary of the aircraft target are not clear, so the accuracy of aircraft target type recognition needs to be further improved

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