Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

Alkali landscapes hold an extremely fine-scale mosaic of several vegetation types, thus it seems challenging to separate these classes by remote sensing. Our aim was to test the applicability of different image classification methods of hyperspectral data in this complex situation. To reach the hig...

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Bibliographic Details
Main Authors: Péter Burai, Balázs Deák, Orsolya Valkó, Tamás Tomor
Format: Article
Language:English
Published: MDPI AG 2015-02-01
Series:Remote Sensing
Subjects:
grassland
habitat mapping
hyperspectral
maximum likelihood classifier
minimum noise fraction
nature conservation
open landscape
random forest
support vector machine
Online Access:http://www.mdpi.com/2072-4292/7/2/2046

Internet

http://www.mdpi.com/2072-4292/7/2/2046

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