Hyperspectral Band Selection and Endmember Detection Using Sparsity Promoting Priors
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[1] Andreas T. Ernst,et al. ICE: a statistical approach to identifying endmembers in hyperspectral images , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[2] Mingyi He,et al. Band selection based on feature weighting for classification of hyperspectral data , 2005, IEEE Geoscience and Remote Sensing Letters.
[3] Hao Chen,et al. Hyperspectral feature selection for forest classification , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[4] Qian Du,et al. A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification , 1999, IEEE Trans. Geosci. Remote. Sens..
[5] Paul Scheunders,et al. A band selection technique for spectral classification , 2005, IEEE Geoscience and Remote Sensing Letters.
[6] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[7] Joydeep Ghosh,et al. Best-bases feature extraction algorithms for classification of hyperspectral data , 2001, IEEE Trans. Geosci. Remote. Sens..
[8] N. Keshava,et al. Distance metrics and band selection in hyperspectral processing with applications to material identification and spectral libraries , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[9] Wesley E. Snyder,et al. Band selection using independent component analysis for hyperspectral image processing , 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..
[10] Robert I. Damper,et al. Band Selection for Hyperspectral Image Classification Using Mutual Information , 2006, IEEE Geoscience and Remote Sensing Letters.
[11] Chein-I Chang,et al. Constrained band selection for hyperspectral imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[12] Paul D. Gader,et al. Sparsity Promoting Iterated Constrained Endmember Detection in Hyperspectral Imagery , 2007, IEEE Geoscience and Remote Sensing Letters.
[13] Ye Zhang,et al. Unsupervised band selection method based on improved N-FINDR algorithm for spectral unmixing , 2006, 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics.
[14] Chein-I Chang,et al. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach , 1994, IEEE Trans. Geosci. Remote. Sens..
[15] Lorenzo Bruzzone,et al. A new search algorithm for feature selection in hyperspectral remote sensing images , 2001, IEEE Trans. Geosci. Remote. Sens..
[16] J. B. Lee,et al. Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform , 1990 .
[17] Adolfo Martínez Usó,et al. Automatic Band Selection in Multispectral Images Using Mutual Information-Based Clustering , 2006, CIARP.
[18] P. Switzer,et al. A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .
[19] Rick Archibald,et al. Feature Selection and Classification of Hyperspectral Images With Support Vector Machines , 2007, IEEE Geoscience and Remote Sensing Letters.