Towards interpretability lightweight semantic segmentation model for waterbody extraction in large-scale high resolution remote sensing images

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY International Journal of Remote Sensing Pub Date : 2024-04-10 DOI:10.1080/01431161.2024.2334812

Lili Zhang, Yushi Lu, Rui Shi, Yipin Shen, Yehong Shao

引用次数: 0

Abstract

In recent years, high resolution (HR) remote sensing images have brought significant changes to land cover monitoring. Monitoring water resources, a vital and scarce commodity for human survival, i...

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在大规模高分辨率遥感图像中提取水体的可解释性轻量级语义分割模型

近年来，高分辨率（HR）遥感图像为土地覆被监测带来了重大变化。水资源是人类赖以生存的重要而稀缺的资源，对其进行监测是至关重要的。

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

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).