Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping

Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping

This study investigates the effectiveness of combining multispectral very high resolution (VHR) and hyperspectral satellite imagery through a decision fusion approach, for accurate forest species mapping. Initially, two fuzzy classifications are conducted, one for each satellite image, using a fuzzy...

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Bibliographic Details
Main Authors: Dimitris G. Stavrakoudis, Eleni Dragozi, Ioannis Z. Gitas, Christos G. Karydas
Format: Article
Language:English
Published: MDPI AG 2014-07-01
Series:Remote Sensing
Subjects:
decision fusion
high spatial resolution
satellite hyperspectral imagery
forest species mapping
fuzzy output SVM
post-regularization
Online Access:http://www.mdpi.com/2072-4292/6/8/6897

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