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26/7/07 09:00 - 12:40
Hyperspectral Data Classification
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Th11MF
Room: 133
Chair: Melba Crawford
CoChair: Lorenzo Bruzzone
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Regression Approaches to Small Sample Inverse Covariance Matrix Estimation for Hyperspectral Image Classification
Are C. Jensen, Asbjørn Berge, Anne S. Solberg
Multiresolution Manifold Learning for Classification of Hyperspectral Data
Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh
Hyperspectral Image Classification Using KNWFE with Conformal Transformation for Kernel Selection
Bor-Chen Kuo, Cheng-Hsuan Li, Tian-Wei Sheu, Chih-Cheng Hung
Classification of Hyperspectral Data by Continuation Semi-Supervised SVM
Mingmin Chi, Lorenzo Bruzzone
Controlling the Spectral-Spatial Mix in Context Classification Using Markov Random Fields
Xiuping Jia, John A. Richards
Hyperspectral Image Classification with Mahalanobis Relevance Vector Machines
Gustavo Camps-Valls, Antonio Rodrigo-González, Jordi Muñoz-Marí, Luis Gómez-Chova, Javier Calpe-Maravilla
Improving Hyperspectral Classification Based on Wavelet Decomposition
Ophir Almog, Maxim Shoshany, Victor Alchanatis
Evaluation of Bayesian Hyperspectral Image Segmentation with a Discriminative Class Learning
Janete S. Borges, André R.S. Marçal, José M. Bioucas-Dias
Does An Endmember Set Really Yield Maximum Simplex Volume?
Chao-Cheng Wu, Chein-I Chang
A Machine Learning Approach for Finding Hyperspectral Endmembers
Amit Banerjee, Philippe Burlina, Joshua Broadwater
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