Joint Kurtosis–Skewness-Based Background Smoothing for Local Hyperspectral Anomaly Detection

Yulei Wang, Yiming Zhao, Yun Xia, Chein I. Chang, Meiping Song, Chunyan Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Anomaly detection becomes increasingly important in hyperspectral data exploitation due to the use of high spectral resolution to uncover many unknown substances which cannot be visualized or known a priori. The RX detector is one of the most commonly used anomaly detections algorithms, where both the global and local versions are studied. In the double window model of local RX detection, it is inevitable that there will be abnormal pixels in the outer window where the background information is estimated. These abnormal pixels will cause great interference to the detection result. Aiming at a better estimation of the local background, a joint kurtosis–skewness algorithm is proposed to smooth the background and get better detection results. The skewness and kurtosis are three and four order statistics respectively, which can express the non-Gaussian character of hyperspectral image and highlight the abnormal information of the target. The experimental results show that the proposed detection algorithm is more effective for both synthetic and real hyperspectral images.

Original languageEnglish
Title of host publicationCommunications, Signal Processing, and Systems - Proceedings of the 2018 CSPS Volume II
Subtitle of host publicationSignal Processing
EditorsQilian Liang, Xin Liu, Zhenyu Na, Wei Wang, Jiasong Mu, Baoju Zhang
PublisherSpringer Verlag
Pages587-593
Number of pages7
ISBN (Print)9789811365034
DOIs
Publication statusPublished - 2020
EventInternational Conference on Communications, Signal Processing, and Systems, CSPS 2018 - Dalian, China
Duration: 2018 Jul 142018 Jul 16

Publication series

NameLecture Notes in Electrical Engineering
Volume516
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Communications, Signal Processing, and Systems, CSPS 2018
Country/TerritoryChina
CityDalian
Period18-07-1418-07-16

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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