Nonparametric Weighted Feature Extraction for Classification (2004)

Cached

Download Links

by Bor-chen Kuo , David A. Landgrebe
Venue:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Citations:15 - 2 self

Documents Related by Co-Citation

2641 Introduction to statistical pattern recognition – K Fukunaga - 1972
53 FEATURE EXTRACTION BASED ON DECISION BOUNDARIES – Chulhee Lee, David A. Landgrebe - 1993
62 Classification of hyperspectral remote sensing images with support vector machines – Farid Melgani, Lorenzo Bruzzone - 2004
57 Kernel-based methods for hyperspectral image classification – Gustavo Camps-valls, Lorenzo Bruzzone, Senior Member - 2005
13 Semisupervised Classification of Hyperspectral Images by SVMs Optimized in the Primal – M Chi, L Bruzzone - 2007
64 Multiclass Linear Dimension Reduction by Weighted Pairwise Fisher Criteria – Marco Loog, R.P.W. Duin, R. Haeb-Umbach - 2001
22 Investigation of the random forest framework for classification of hyperspectral data – Jisoo Ham, Yangchi Chen, Melba M. Crawford, Senior Member, Joydeep Ghosh, Senior Member
33 Hyperspectral image data analysis as a high dimensional signal processing problem – D Landgrebe - 2002
13 Adaptive Bayesian Contextual Classification Based on Markov Random Fields – Qiong Jackson, David Landgrebe, Student Ieee, David L, Life Fellow - 2002
12 Combined spectral and spatial processing of ERTS imagery data – R Haralick, K Shanmugam - 1974
6 Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data – P Goovaerts - 2002
11 Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data – Suju Rajan, Joydeep Ghosh, Melba M. Crawford, Senior Member - 2005
6 A model-based mixture-supervised classification approach in hyperspectral data analysis – M Dundar, D Landgrebe - 2002
31 Recent advances in techniques for hyperspectral image processing,” Remote Sens – A Plaza, J A Benediktsson, J Boardman, J Brazile, L Bruzzone, G Camps-Valls, J Chanussot, M Fauvel, P Gamba, J Gualtieri, M Marconcini, J C Tilton, G Trianni - 2009
7 Knowledge based stacking of hyperspectral data for land cover classification – Y Chen, M Crawford, J Ghosh
16 An active learning approach to hyperspectral data classification – Suju Rajan, Joydeep Ghosh, Melba M. Crawford - 2008
19 Benediktsson, “SVM and MRF-based method for accurate classification of hyperspectral images – Y Tarabalka, M Fauvel, J Chanussot, J A
10 An efficient active learning algorithm with knowledge transfer for hyperspectral data analysis – Goo Jun, Joydeep Ghosh
15 Chanussot J.: “Spectral-spatial classification of hyperspectral imagery based on partitional clustering techniques – Yuliya Tarabalka, Student Member, Jón Atli Benediktsson, Jocelyn Chanussot, Senior Member - 2009