Fanet: A deep learning framework for black and odorous water extraction

Black and odorous water (BOW) is a common issue in rapidly urbanizaing developing countries. Existing methods for extracting BOW from remote sensing images focus mainly on spectral information and ignores important spatial characteristics like texture, context and orientation. Deep learning has emer...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	European journal of remote sensing 2023-12, Vol.56 (1)
Hauptverfasser:	Zheng, Guizhou, Zhao, Yingying, Pan, Zixuan, Chen, Zhixing, Qiu, Zhonghang, Zheng, Tingting
Format:	Artikel
Sprache:	eng
Schlagworte:	black and odorous water Datasets Deep learning Developing countries fully convolutional network generative adversarial network LDCs Pixels Reflectance Remote sensing remote sensing images Semantic segmentation Spectral reflectance
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!