Design and Implementation of Marine Automatic Target Recognition System Based on Visible Remote Sensing Images

In the process of visible light remote sensing imaging, different sea surface wave conditions have different reflection ability to illumination, which makes the brightness, contrast and other information of visible light remote sensing images have great changes. Marine ship target recognition is an important application of image processing in remote sensing field. Based on pixel-level fusion of visible and infrared bispectral images, this paper extracts features from fusion results, and recognizes targets in images according to the matching of target image features and template image features. Comprehensive utilization of image preprocessing, image smoothing and anti-cloud interference algorithms can quickly and accurately realize ship target detection under the complex background of land and sea. The experimental results show that the algorithm is effective both in physical mechanism and in actual image effect.