Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery
River system is critical for the future sustainability of our planet but is always under the pressure of food, water and energy demands. Recent advances in machine learning bring a great potential for automatic river mapping using satellite imagery. Surface river mapping can provide accurate and tim...
Main Authors: | Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/15/2893 |
Similar Items
-
Global River Monitoring Using Semantic Fusion Networks
by: Zhihao Wei, et al.
Published: (2020-08-01) -
Études expérimentales et modélisation de la dynamique de distribution des agents de contraste en imagerie RMN : applications à l'agronomie
by: Kenouche, Samir
Published: (2013) -
Mapping Riparian Vegetation in the Lower Colorado River Using Low Resolution Satellite Imagery
by: Amundsen, Kelly J.
Published: (2010) -
Correction active des discontinuités pupillaires des télescopes à miroir segmenté pour l’imagerie haut contraste et la haute résolution angulaire
by: Janin-Potiron, Pierre
Published: (2017) -
Pinios (Peneus) River (Central Greece): Hydrological — Geomorphological elements and changes during the quaternary
by: Migiros George, et al.
Published: (2011-06-01)