Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement

Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement

Classifying remote sensing imageries to obtain reliable and accurate land use and land cover (LULC) information still remains a challenge that depends on many factors such as complexity of landscape, the remote sensing data selected, image processing and classification methods, etc. The aim of this...

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Bibliographic Details
Main Authors: Tiho Ancev, Inakwu O. A. Odeh, Ramita Manandhar
Format: Article
Language:English
Published: MDPI AG 2009-07-01
Series:Remote Sensing
Subjects:
image classification
Landsat
ancillary data
accuracy
Lower Hunter
Online Access:http://www.mdpi.com/2072-4292/1/3/330/

Internet

http://www.mdpi.com/2072-4292/1/3/330/

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