A background refinement method based on local density for hyperspectral anomaly detection
暂无分享,去创建一个
Chunhui Zhao | Xin-peng Wang | Xi-feng Yao | Minghua Tian | Minghua Tian | Xi-Feng Yao | C. Zhao | Xin-peng Wang
[1] Heesung Kwon,et al. Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[2] Lianru Gao,et al. Probabilistic anomaly detector for remotely sensed hyperspectral data , 2014 .
[3] Bo Du,et al. Random-Selection-Based Anomaly Detector for Hyperspectral Imagery , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[4] Amit Banerjee,et al. A support vector method for anomaly detection in hyperspectral imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[6] James E. Fowler,et al. Nearest Regularized Subspace for Hyperspectral Classification , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[7] Paul E. Lewis,et al. Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV , 2006 .
[8] Saeid Homayouni,et al. Anomaly Detection in Hyperspectral Images Based on an Adaptive Support Vector Method , 2011, IEEE Geoscience and Remote Sensing Letters.
[9] Qian Du,et al. Collaborative Representation for Hyperspectral Anomaly Detection , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[10] Huijie Zhao,et al. Local density-based anomaly detection in hyperspectral image , 2015 .
[11] Peter Bajorski,et al. Target Detection Under Misspecified Models in Hyperspectral Images , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[12] A. Hadi,et al. BACON: blocked adaptive computationally efficient outlier nominators , 2000 .
[13] Xiaoli Yu,et al. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..
[14] Antonio J. Plaza,et al. Analysis and Optimizations of Global and Local Versions of the RX Algorithm for Anomaly Detection in Hyperspectral Data , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[15] Daniel R. Fuhrmann,et al. A CFAR adaptive matched filter detector , 1992 .
[16] Antonio J. Plaza,et al. Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[17] Inmaculada García,et al. Anomaly detection based on a parallel kernel RX algorithm for multicore platforms , 2012 .
[18] Dimitris G. Manolakis,et al. Detection algorithms for hyperspectral imaging applications , 2002, IEEE Signal Process. Mag..
[19] Andrew Chan,et al. An SVDD-Based Algorithm for Target Detection in Hyperspectral Imagery , 2011, IEEE Geoscience and Remote Sensing Letters.
[20] E. M. Winter,et al. Anomaly detection from hyperspectral imagery , 2002, IEEE Signal Process. Mag..
[21] Trac D. Tran,et al. Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery , 2011, IEEE Geoscience and Remote Sensing Letters.
[22] Qian Du,et al. Comparison between constrained energy minimization based approaches for hyperspectral imagery , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.
[23] Qian Du,et al. Unsupervised nearest regularized subspace for anomaly detection in hyperspectral imagery , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[24] Chein-I Chang,et al. Anomaly detection and classification for hyperspectral imagery , 2002, IEEE Trans. Geosci. Remote. Sens..