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» Distributed SVM Applied to Image Classification
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EUSFLAT
2009
133views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
On the Information Provided by Uncertainty Measures in the Classification of Remote Sensing Images
This paper investigates the potential information provided to the user by the uncertainty measures applied to the possibility distributions associated with the spatial units of an ...
Luisa M. S. Gonçalves, Cidália C. Fo...
ICIP
2001
IEEE
14 years 9 months ago
Multistatic passive radar imaging using the smoothed pseudo Wigner-Ville distribution
We investigate passive radar imaging of aircraft using reflected TV signals. We apply a Smoothed Pseudo WignerVille Distribution (SPWVD)-based SAR imaging algorithm to two differe...
Yong Wu, David C. Munson Jr.
TIP
2008
175views more  TIP 2008»
13 years 7 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
ICPR
2006
IEEE
14 years 8 months ago
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification
Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorith...
Antonio Robles-Kelly, Nianjun Liu, Terry Caelli, Z...
ICIP
2010
IEEE
13 years 5 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang