A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China-Reference-Cited by-同舟云学术

A Novel Impervious Surface Extraction Method Based on Automatically Generating Training Samples From Multisource Remote Sensing Products: A Case Study of Wuhan City, China

Published:2022 Issue: Volume:15 Page:6766-6780
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liu Yingbing¹,Wu Yuqin²,Chen Zeqiang³,Huang Min⁴^ORCID,Du Wenying³,Chen Nengcheng³^ORCID,Xiao Changjiang⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Hainan University, Haikou, China

2. Zhongnan Engineering Corporation Limited, Power China, Changsha, China

3. National Engineering Research Center for Geographic Information System, China University of Geosciences, Wuhan, China

4. School of Geography and Environment, Jiangxi Normal University, Nanchang, China

5. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

Funder

National Key R&D Program

National Nature Science Foundation of China Program

China Postdoctoral Science Foundation

Open Fund of National Engineering Research Center for Geographic Information System

China University of Geosciences

Shanghai Municipal Science and Technology Major Project

Shanghai Municipal Commission of Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09854083.pdf?arnumber=9854083

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