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5 November 2020 Research on image registration and enhancement of GF-4 sequence images in low SNR small target detection
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Proceedings Volume 11567, AOPC 2020: Optical Sensing and Imaging Technology; 1156716 (2020) https://doi.org/10.1117/12.2576396
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China
Abstract
With high time resolution and wide coverage, GF-4 camera can achieve high-frequency repeated monitoring over a wide range of areas within a certain period of time. However, there are some problems of its sequence images, such as shaking, non-prominent ship targets and insufficient brightness in sea area, which are not conducive to the detection of moving ships. Thus, a hierarchical registration algorithm combining SURF and SIFT, and an image enhancement algorithm combining wavelet threshold denoising and Top-hat filtering was proposed to solve these problems. Matlab’s experiment proves that the processed image can almost only contain the highlighted target and the black background, which improves the accuracy of subsequent ship monitoring.
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Ting Lin, Xiaomei Chen, and Zhiwei Zhao "Research on image registration and enhancement of GF-4 sequence images in low SNR small target detection", Proc. SPIE 11567, AOPC 2020: Optical Sensing and Imaging Technology, 1156716 (5 November 2020); https://doi.org/10.1117/12.2576396
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