What is it about?
This study examined Fuzzy Sigmoidal, Bayesian, and Demspter-Shafer classifications to map shorelines in Kuala Terengganu, Malaysia for different types of coasts.
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Why is it important?
The soft classifier assessed in this study produced reliable shoreline maps and should help shoreline change detection and monitoring from coarser spatial resolution imagery.
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations.
Mohammad Shawkat Hossain
Universiti Malaysia Terengganu
Read the Original
This page is a summary of: Shoreline mapping: how do Fuzzy Sigmoidal, Bayesian, and Demspter-Shafer classifications perform for different types of coasts?, Remote Sensing Letters, October 2018, Taylor & Francis,
DOI: 10.1080/2150704x.2018.1523583.
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