Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields
Author:
Funder
National Natural Science Foundation of China
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/8/4/355/pdf
Reference42 articles.
1. Signal Theory Methods in Multispectral Remote Sensing;Landgrebe,2003
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4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond;Schölkopf,2002
5. Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach
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