Semi-Supervised Based Hyperspectral Imagery Classification

Hyperspectral imagery classification is a challenging problem. Wherein, the high number of spectral channels and the high cost of true sample labeling greatly reduce the classification precision. In this paper, we proposed a semi-supervised method, which combine linear discriminant analysis and mani...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autoři: Zhijun Zheng, Yanbin Peng
Médium: Artigo
Jazyk:Inglês
Vydáno: IFSA Publishing, S.L. 2013-09-01
Edice:Sensors & Transducers
Témata:
Hyperspectral imagery
Classification
Semi-supervised
Linear discriminant analysis
Manifold learning.
On-line přístup:http://www.sensorsportal.com/HTML/DIGEST/september_2013/P_1360.pdf
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky