The Improvement of Land Cover Classification by Thermal Remote Sensing

The Improvement of Land Cover Classification by Thermal Remote Sensing

Land cover classification has been widely investigated in remote sensing for agricultural, ecological and hydrological applications. Landsat images with multispectral bands are commonly used to study the numerous classification methods in order to improve the classification accuracy. Thermal remote...

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Bibliographic Details
Main Authors:	Liya Sun, Karsten Schulz
Format:	Article
Language:	English
Published:	MDPI AG 2015-06-01
Series:	Remote Sensing
Subjects:	thermal remote sensing land cover classification Landsat image k-NN random forest cross validation
Online Access:	http://www.mdpi.com/2072-4292/7/7/8368

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