Hyperspectral Image Classification Based on the Weighted Probabilistic Fusion of Multiple Spectral-spatial Features

Hyperspectral Image Classification Based on the Weighted Probabilistic Fusion of Multiple Spectral-spatial Features

A hyperspectral images classification method based on the weighted probabilistic fusion of multiple spectral-spatial features was proposed in this paper. First, the minimum noise fraction (MNF) approach was employed to reduce the dimension of hyperspectral image and extract the spectral feature from...

Full description

Bibliographic Details
Main Authors: ZHANG Chunsen, ZHENG Yiwei, HUANG Xiaobing, CUI Weihong
Format: Article
Language:zho
Published: Surveying and Mapping Press 2015-08-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
spectral-spatial feature
probabilistic fusion
SVM
hyperspectral
classification
Online Access:http://html.rhhz.net/CHXB/html/2015-8-909.htm

Internet

http://html.rhhz.net/CHXB/html/2015-8-909.htm

Similar Items