A new method for surface water extraction using multi-temporal Landsat 8 images based on maximum entropy model

The spectral matching algorithm based on the discrete particle swarm optimization algorithm (SMDPSO) sometimes overestimates extracted surface water areas. Here we constructed a new method (MEDPSO) by coupling discrete particle swarm optimization algorithm with maximum entropy model (MaxEnt) to extr...

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Veröffentlicht in:	European journal of remote sensing 2022-12, Vol.55 (1), p.303-312
Hauptverfasser:	Li, Wangping, Zhang, Wanchang, Li, Zhihong, Wang, Yu, Chen, Hao, Gao, Huiran, Zhou, Zhaoye, Hao, Junming, Li, Chuanhua, Wu, Xiaodong
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Entropy Errors High altitude Lakes Landsat Landsat 8_OLI Machine learning Maximum entropy Maximum entropy model Mountains National parks normalized difference water index Optimization algorithms Particle swarm optimization Remote sensing Satellite imagery spectral matching Surface water surface water extraction Thermokarst
Online-Zugang:	Volltext
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