Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine
暂无分享,去创建一个
Chen Chen | Kui Liu | Hongjun Su | Wei Li | Wei Li | Kui Liu | H. Su | Cheng Chen
[1] Qian Du,et al. Similarity-Based Unsupervised Band Selection for Hyperspectral Image Analysis , 2008, IEEE Geoscience and Remote Sensing Letters.
[2] Chen Chen,et al. Reconstruction of Hyperspectral Imagery From Random Projections Using Multihypothesis Prediction , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[3] Liangpei Zhang,et al. An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification From Urban Hyperspectral Imagery , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[4] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[5] Xin Huang,et al. A comparative study of spatial approaches for urban mapping using hyperspectral ROSIS images over Pavia City, northern Italy , 2009 .
[6] Jason Weston,et al. Semisupervised Neural Networks for Efficient Hyperspectral Image Classification , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[7] Chen Chen,et al. Spectral–Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[8] Paolo Gamba,et al. A collection of data for urban area characterization , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[9] Liangpei Zhang,et al. An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[10] Giles M. Foody,et al. A relative evaluation of multiclass image classification by support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[11] Glenn Healey,et al. Hyperspectral Region Classification Using a Three-Dimensional Gabor Filterbank , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[12] Akinobu Shimizu,et al. Robust face detection using Gabor filter features , 2005, Pattern Recognit. Lett..
[13] Jon Atli Benediktsson,et al. Hyperspectral Image Classification With Independent Component Discriminant Analysis , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[14] Ping Tang,et al. Spectral and spatial classification of hyperspectral data using SVMs and Gabor textures , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[15] D. Serre. Matrices: Theory and Applications , 2002 .
[16] Anil K. Jain,et al. Object detection using gabor filters , 1997, Pattern Recognit..
[17] R. Kettig,et al. Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects , 1976, IEEE Transactions on Geoscience Electronics.
[18] Mahesh Pal. Extreme‐learning‐machine‐based land cover classification , 2008, ArXiv.
[19] Chen Chen,et al. Single-image super-resolution using multihypothesis prediction , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[20] LinLin Shen,et al. Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[21] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[22] Yoshihiko Hamamoto,et al. A gabor filter-based method for recognizing handwritten numerals , 1998, Pattern Recognit..
[23] Chein-I Chang,et al. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach , 1994, IEEE Trans. Geosci. Remote. Sens..
[24] Chen Chen,et al. Compressed-sensing recovery of images and video using multihypothesis predictions , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[25] David A. Clausi,et al. Designing Gabor filters for optimal texture separability , 2000, Pattern Recognit..
[26] Lorenzo Bruzzone,et al. Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[27] Timothy A. Warner,et al. Kernel-based extreme learning machine for remote-sensing image classification , 2013 .
[28] Hongming Zhou,et al. Extreme Learning Machine for Regression and Multiclass Classification , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[29] David A. Landgrebe,et al. The development of a spectral-spatial classifier for earth observational data , 1980, Pattern Recognit..
[30] Liangpei Zhang,et al. On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[31] Yehoshua Y. Zeevi,et al. The Generalized Gabor Scheme of Image Representation in Biological and Machine Vision , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[32] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[33] Chee Kheong Siew,et al. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes , 2006, IEEE Transactions on Neural Networks.
[34] Dianne P. O'Leary,et al. The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems , 1993, SIAM J. Sci. Comput..
[35] Amaury Lendasse,et al. Extreme learning machines for soybean classification in remote sensing hyperspectral images , 2014, Neurocomputing.
[36] Farid Melgani,et al. Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[37] Antonio Plaza,et al. Parallel Classification of Hyperspectral Images Using Neural Networks , 2008 .
[38] Gustavo Camps-Valls,et al. Composite kernels for hyperspectral image classification , 2006, IEEE Geoscience and Remote Sensing Letters.
[39] David A. Landgrebe,et al. Signal Theory Methods in Multispectral Remote Sensing , 2003 .