Random selection-based adaptive saliency-weighted RXD anomaly detection for hyperspectral imagery
作者： Weihua Liu , Xiangpeng Feng , Shuang Wang , Bingliang Hu , Yuquan Gan
DOI: 10.1080/01431161.2017.1420931
关键词:
摘要: With recent advances in hyperspectral imaging sensors, subtle and concealed targets that cannot be detected by multispectral imagery can identified. The most widely used anomaly detection method...
core.ac.uk
harvard.edu
sci-hub.se 参考文章(29)
Chein-I Chang, None, Hyperspectral Data Exploitation: Theory and Applications Wiley-Interscience. ,(2007)
Chein‐I Chang, Mingkai Hsueh, Characterization of anomaly detection in hyperspectral imagery Sensor Review. ,vol. 26, pp. 137- 146 ,(2006) , 10.1108/02602280610652730
D.W.J. Stein, S.G. Beaven, L.E. Hoff, E.M. Winter, A.P. Schaum, A.D. Stocker, Anomaly detection from hyperspectral imagery IEEE Signal Processing Magazine. ,vol. 19, pp. 58- 69 ,(2002) , 10.1109/79.974730
Nedret Billor, Ali S. Hadi, Paul F. Velleman, BACON: blocked adaptive computationally efficient outlier nominators Computational Statistics & Data Analysis. ,vol. 34, pp. 279- 298 ,(2000) , 10.1016/S0167-9473(99)00101-2
Rui Zhao, Bo Du, Liangpei Zhang, A Robust Nonlinear Hyperspectral Anomaly Detection Approach IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ,vol. 7, pp. 1227- 1234 ,(2014) , 10.1109/JSTARS.2014.2311995
Heesung Kwon, Sandor Z Der, Nasser M Nasrabadi, Adaptive anomaly detection using subspace separation for hyperspectral imagery Optical Engineering. ,vol. 42, pp. 3342- 3351 ,(2003) , 10.1117/1.1614265
Amir Adler, Michael Elad, Yacov Hel-Or, Ehud Rivlin, Sparse Coding with Anomaly Detection Journal of Signal Processing Systems. ,vol. 79, pp. 179- 188 ,(2015) , 10.1007/S11265-014-0913-0
Qiandong Guo, Bing Zhang, Qiong Ran, Lianru Gao, Jun Li, Antonio Plaza, Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. ,vol. 7, pp. 2351- 2366 ,(2014) , 10.1109/JSTARS.2014.2302446
Stas Goferman, Lihi Zelnik-Manor, Ayellet Tal, Context-Aware Saliency Detection IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 34, pp. 1915- 1926 ,(2012) , 10.1109/TPAMI.2011.272
I.S. Reed, X. Yu, Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution IEEE Transactions on Acoustics, Speech, and Signal Processing. ,vol. 38, pp. 1760- 1770 ,(1990) , 10.1109/29.60107