ResWLI: a new method to retrieve water levels in coastal zones by integrating optical remote sensing and deep learning

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2025-07-03 DOI:10.1080/15481603.2025.2524891

Nan Xu, Huichao Xin, Jiarui Wu, Jiaqi Yao, He Ren, Han-Su Zhang, Hao Xu, Hong Luan, Dong Xu, Yongze Song

引用次数: 0

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ResWLI：一种结合光学遥感和深度学习的海岸带水位反演新方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.