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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE geoscience and remote sensing letters Ročník 13; číslo 4; s. 594 - 598
Hlavní autoři:	Xiangrong Zhang, Yunlong Liang, Yaoguo Zheng, Jinliang An, Jiao, L. C.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.04.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!