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Hindi Research Article, Geoinfor Geostat An Overview S Vol: 0 Issue: 0
Suitability of Markov Random Field-Based Method for Super-Resolution Land Cover Mapping
| Rahel Hailu Kassaye* | |
| Ministry of Urban Development & Construction, Addis Ababa, Ethiopia | |
| Corresponding author : Rahel Hailu Kassaye P.O. Box 3221, Addis Ababa, Ethiopia Tel: +251-911-809-340, Fax: +251-115-540-630; E-mail: rhlhailu@gmail.com, rahelhal@yahoo.com |
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| Received: March 29, 2013 Accepted: July 12, 2013 Published: July 23, 2013 | |
| Citation: Kassaye RH (2013) Suitability of Markov Random Field-Based Method for Super-Resolution Land Cover Mapping. Geoinfor Geostat: An Overview S1. doi:10.4172/2327-4581.S1-012 |
Abstract
Suitability of Markov Random Field-Based Method for Super-Resolution Land Cover Mapping
Super-resolution mapping (SRM) works by dividing the coarse pixel into sub-pixels and assign the class proportion estimated by subpixel classification to each corresponding sub-pixels then the class labelling is optimized based on the principle of spatial dependency. Among the existing SRM techniques Markov random field (MRF)-based SRM is one of the most recently introduced technique. This study attempts to assess the suitability of the technique for superresolution land cover mapping.
