24 October 2017 Hyperspectral image target detection algorithm based on complex networks
Author Affiliations +
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
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chen Wu, Chen Wu, Shiwei Fan, Shiwei Fan, Yonghong Xue, Yonghong Xue, } "Hyperspectral image target detection algorithm based on complex networks", Proc. SPIE 10461, AOPC 2017: Optical Spectroscopy and Imaging, 1046108 (24 October 2017); doi: 10.1117/12.2281626; https://doi.org/10.1117/12.2281626

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