Deep-Learning-Based Automatic Extraction of Aquatic Vegetation from Sentinel-2 Images—A Case Study of Lake Honghu

Deep-Learning-Based Automatic Extraction of Aquatic Vegetation from Sentinel-2 Images—A Case Study of Lake Honghu

Aquatic vegetation is an important component of aquatic ecosystems; therefore, the classification and mapping of aquatic vegetation is an important aspect of lake management. Currently, the decision tree (DT) classification method based on spectral indices has been widely used in the extraction of a...

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Bibliographic Details
Main Authors: Hangyu Gao, Ruren Li, Qian Shen, Yue Yao, Yifan Shao, Yuting Zhou, Wenxin Li, Jinzhi Li, Yuting Zhang, Mingxia Liu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
aquatic vegetation
deep learning
automatic extraction
Lake Honghu
Sentinel-2 MSI
Online Access:https://www.mdpi.com/2072-4292/16/5/867

Internet

https://www.mdpi.com/2072-4292/16/5/867

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