Hyperspectral subpixel target detection based on joint spectral and spatial preprocessing prior to endmember extraction

Chang Liu; Guangping Wang; Junwei Li

doi:10.1117/12.2505581

12 December 2018 Hyperspectral subpixel target detection based on joint spectral and spatial preprocessing prior to endmember extraction

Chang Liu, Guangping Wang, Junwei Li

Author Affiliations +

Proceedings Volume 10846, Optical Sensing and Imaging Technologies and Applications; 108462R (2018) https://doi.org/10.1117/12.2505581
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

This paper proposed a hyperspectral subpixel target detection algorithm based on joint spectral and spatial preprocessing prior to endmember extraction and spectral angle mapping(SAM). Under the condition that the prior information of targets and background is unknown, the spectral and spatial information is used to locate and detect targets. Then we can make hyperspectral subpixel targets detected and recognised. The joint spectral and spatial preprocessing prior to endmember extraction method is performed to extract endmembers. The spectral angle mapping method is used to detect and recognize the interested targets. The hyperspectral image collected by AVIRIS is applied to evaluate the proposed algorithm. The proposed algorithm is compared with SAM algorithm and RX algorithm by a specifically designed experiment. From the results of the experiments, it is illuminated that the proposed algorithm can detect subpixel targets with lower false alarm rate and its performance is better than that of the other algorithms under the same condition.

Citation Download Citation

Chang Liu, Guangping Wang, and Junwei Li "Hyperspectral subpixel target detection based on joint spectral and spatial preprocessing prior to endmember extraction", Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108462R (12 December 2018); https://doi.org/10.1117/12.2505581

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