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...

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Main Authors: Wenjie Wang, Weidong Li, Chuanrong Zhang, Weixing Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2018-03-01
Colecção:Land
Assuntos:
Markov chain random field
spectral similarity
object-based classification
post-classification
accuracy improvement
Acesso em linha:http://www.mdpi.com/2073-445X/7/1/31
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