Hierarchical Discriminative Feature Learning for Hyperspectral Image Classification

Building effective image representations from hyperspectral data helps to improve the performance for classification. In this letter, we develop a hierarchical discriminative feature learning algorithm for hyperspectral image classification, which is a deformation of the spatial-pyramid-matching mod...

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Bibliographic Details
Published in:	IEEE geoscience and remote sensing letters Vol. 13; no. 4; pp. 594 - 598
Main Authors:	Xiangrong Zhang, Yunlong Liang, Yaoguo Zheng, Jinliang An, Jiao, L. C.
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Classification Dictionaries Discriminative feature learning Feature extraction hyperspectral image (HSI) classification Hyperspectral imaging Image classification Image reconstruction label-consistent K-SVD Learning Learning systems Pine Representations Sparse matrices sparse representation (SR) State of the art sparse representation (SR) label-consistent K-SVD Discriminative feature learning hyperspectral image (HSI) classification
ISSN:	1545-598X, 1558-0571
Online Access:	Get full text
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