Improving Object-Based Land Use/Cover Classification from Medium Resolution Imagery by Markov Chain Geostatistical Post-Classification
Land use/land cover maps derived from remotely sensed imagery are often insufficient in quality for some quantitative application purposes due to a variety of reasons such as spectral confusion. Although object-based classification has some advantages over pixel-based classification in identifying r...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-03-01
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Series: | Land |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-445X/7/1/31 |