Research on aircraft detection of hyperspectral remote sensing image based on space-spectrum combination

Yapeng Yang; Qiang Wei; Yuwei Yuan; Liwei Sun

doi:10.1117/12.2689119

31 July 2023 Research on aircraft detection of hyperspectral remote sensing image based on space-spectrum combination

Yapeng Yang, Qiang Wei, Yuwei Yuan, Liwei Sun

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 1274702 (2023) https://doi.org/10.1117/12.2689119
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

Aiming at the problem of aircraft target detection in complex environment of hyperspectral image, a new target detection method based on space-spectrum combination is proposed. Hyperspectral satellite images are pretreatmented firstly, and the method of band subset global searching is adopted to reduce the spatial dimension, then least squares error algorithm is employed to find the best band combination. To make full use of the spatial information of hyperspectral images, morphological attributes and guiding filter are used in the algorithm. And an abnormal target detection method of hyperspectral images base on attribute filter and guiding filter is proposed to improve the detection accuracy of target detection. Experimental results show that the proposed target detection method based on space-spectrum combination could suppress the false alarm targets in hyperspectral remote sensing images and improve the detection rate of real targets.

Citation Download Citation

Yapeng Yang, Qiang Wei, Yuwei Yuan, and Liwei Sun "Research on aircraft detection of hyperspectral remote sensing image based on space-spectrum combination", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 1274702 (31 July 2023); https://doi.org/10.1117/12.2689119

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