Mapping Urban Functional Areas Using Multisource Remote Sensing Images and Open Big Data-Reference-Cited by-同舟云学术

Mapping Urban Functional Areas Using Multisource Remote Sensing Images and Open Big Data

Published:2023 Issue: Volume:16 Page:7919-7931
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:

Chen Yifan¹^ORCID,He Chaokang¹^ORCID,Guo Wei¹^ORCID,Zheng Shiqi¹^ORCID,Wu Bingxian¹^ORCID

Affiliation:

1. School of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, China

Funder

National Natural Science Foundation of China

State Key Laboratory of Geo-Information Engineering and Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of MNR, CASM

The Ningxia Hui Autonomous Region Key Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10229929.pdf?arnumber=10229929

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4. A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B

5. A unified deep learning framework for urban functional zone extraction based on multi-source heterogeneous data

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