Hyperspectral image target detection algorithm based on complex networks

Chen Wu; Shiwei Fan; Yonghong Xue

doi:10.1117/12.2281626

24 October 2017 Hyperspectral image target detection algorithm based on complex networks

Chen Wu, Shiwei Fan, Yonghong Xue

Proceedings Volume 10461, AOPC 2017: Optical Spectroscopy and Imaging; 1046108 (2017) https://doi.org/10.1117/12.2281626
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

The broad application of hyperspectral devices makes hyperspectral image target detection a popular research. This paper presents a new method for target detection by transforming the hyperspectral data into complex networks. By analyzing the networks topological feature corresponding to each pixel, one can easily evaluate the statistical characteristics and intrinsic properties of the signals. Thereby matching the target by comparing the pixel network characteristics. The spectral characteristics of the pixel are analyzed from the perspective of the network, which provides a new spectral matching criterion. Experimental results demonstrate that the proposed method can acquire satisfactory results when compared with traditional methods.

Citation Download Citation

Chen Wu, Shiwei Fan, and Yonghong Xue "Hyperspectral image target detection algorithm based on complex networks", Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 1046108 (24 October 2017); https://doi.org/10.1117/12.2281626

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KEYWORDS

Hyperspectral imaging

Hyperspectral target detection

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