Comparative analysis of hyperspectral remote sensing abnormal target detection methods

doi:10.13474/j.cnki.11-2246.2021.0284

Abstract

Abstract: This paper is based on the theory of hyperspectral remote sensing abnormal target detection, mainly explores several existing abnormal target detection methods, through the experimental comparison and analysis of the detection performance of each algorithm, in order to get a better detection method, and provide more support for hyperspectral remote sensing abnormal target detection. In this paper, through the experiment of three groups of data, and from the detection rate and false alarm rate, the area under the ROC curve and the running time of the algorithm, the detection performance of the above-mentioned anomaly detection algorithms is compared and analyzed. Finally, the detection effect of the algorithm based on the statistical model and the representation model is compared and analyzed, so as to obtain the more suitable for different data Detection method.

Key words: hyperspectral remote sensing, anomaly detection, comparative analysis, detection rate, statistical model

CLC Number:

P237

WANG Deqiang, ZHAO Deliang. Comparative analysis of hyperspectral remote sensing abnormal target detection methods[J]. Bulletin of Surveying and Mapping, 2021, 0(9): 108-111.

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