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Proceedings Paper

Hyperspectral image target detection algorithm based on complex networks
Author(s): Chen Wu; Shiwei Fan; Yonghong Xue
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Paper 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.

Paper Details

Date Published: 24 October 2017
PDF: 5 pages
Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 1046108 (24 October 2017); doi: 10.1117/12.2281626
Show Author Affiliations
Chen Wu, Beijing Institute of Tracking and Telecommunication Technology (China)
Shiwei Fan, Beijing Institute of Tracking and Telecommunication Technology (China)
Yonghong Xue, Beijing Institute of Tracking and Telecommunication Technology (China)


Published in SPIE Proceedings Vol. 10461:
AOPC 2017: Optical Spectroscopy and Imaging
Jin Yu; Zhe Wang; Wei Hang; Bing Zhao; Xiandeng Hou; Mengxia Xie; Tsutomu Shimura, Editor(s)

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