Tripa IGRSS 2007.indd - congress.cimne.com - UPC
Tripa IGRSS 2007.indd - congress.cimne.com - UPC
Tripa IGRSS 2007.indd - congress.cimne.com - UPC
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IEEE International Geoscience and Remote Sensing Symposium - IGARSS Barcelona 2007<br />
Thursday Morning<br />
Thursday Morning (09:00 - 12:40)<br />
Room: 133<br />
Th11MF. Hyperspectral Data Classification<br />
Co-Chairs: Melba Crawford , Lorenzo Bruzzone<br />
09:00 Regression Approaches to Small Sample Inverse Covariance<br />
Matrix Estimation for Hyperspectral Image Classification<br />
Are C. Jensen, Asbjørn Berge, Anne S. Solberg<br />
09:20 Multiresolution Manifold Learning for Classification of<br />
Hyperspectral Data<br />
Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep<br />
Ghosh<br />
09:40 Hyperspectral Image Classification Using KNWFE with<br />
Conformal Transformation for Kernel Selection<br />
Bor-Chen Kuo, Cheng-Hsuan Li, Tian-Wei Sheu, Chih-Cheng Hung<br />
10:00 Classification of Hyperspectral Data by Continuation Semi-<br />
Supervised SVM<br />
Mingmin Chi, Lorenzo Bruzzone<br />
10:20 Controlling the Spectral-Spatial Mix in Context Classification<br />
Using Markov Random Fields<br />
Xiuping Jia, John A. Richards<br />
10:40 COFFEE BREAK<br />
11:00 Hyperspectral Image Classification with Mahalanobis<br />
Relevance Vector Machines<br />
Gustavo Camps-Valls, Antonio Rodrigo-González, Jordi Muñoz-Marí, Luis<br />
Gómez-Chova, Javi Calpe-Maravilla<br />
11:20 Improving Hyperspectral Classification Based on Wavelet<br />
De<strong>com</strong>position<br />
Ophir Almog, Maxim Shoshany, Victor Alchanatis<br />
11:40 Evaluation of Bayesian Hyperspectral Image Segmentation<br />
with a Discriminative Class Learning<br />
Janete S. Borges, André R.S. Marçal, José M. Bioucas-Dias<br />
12:00 Does An Endmember Set Really Yield Maximum Simplex<br />
Volume?<br />
Chao-Cheng Wu, Chein-I Chang<br />
12:20 A Machine Learning Approach for Finding Hyperspectral<br />
Endmembers<br />
Amit Banerjee, Philippe Burlina, Joshua Broadwater<br />
166<br />
Thursday