Binary classifications, using a classification scheme consisting of mangroves and non-mangroves, are a compromise between one-class classifications and multi- ...
Abstract. Mangroves have tremendous ecological value but are vulnerable to anthropogenic factors and sea level rise. Classification based on remote sensing ...
This paper first tested whether a conversion from either of two existing multi-class classifications to a binary classification could achieve comparable ...
Identifying large-area mangrove distribution based on remote sensing: A binary classification approach considering subclasses of non-mangroves · Chuanpeng Zhao, ...
Mar 4, 2022 · This paper first tested whether a conversion from either of two existing multi-class classifications to a binary classification could achieve ...
Identifying large-area mangrove distribution based on remote sensing: A binary classification approach considering subclasses of non-mangroves. Creators.
Jun 8, 2024 · ... Large-area Mangrove Distribution Based On Remote Sensing: a Binary Classification Approach Considering Subclasses of Non-mangroves).
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Identifying large-area mangrove distribution based on remote sensing: A binary classification approach considering subclasses of non-mangroves.
RS-based mangrove mapping approaches detect mangroves using classification algorithms and then retrieve a mangrove map through post-processing (i.e., various ...
We conducted a case study on mapping Kandelia obovata in China based on Sentinel-2 time-series imagery, as it is a representative native mangrove species with ...