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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Hangyu Gao, Ruren Li, Qian Shen, Yue Yao, Yifan Shao, Yuting Zhou, Wenxin Li, Jinzhi Li, Yuting Zhang, Mingxia Liu
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-02-01
Schriftenreihe:Remote Sensing
Schlagworte:
aquatic vegetation
deep learning
automatic extraction
Lake Honghu
Sentinel-2 MSI
Online-Zugang:https://www.mdpi.com/2072-4292/16/5/867
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