SCFN: A Deep Network for Functional Urban Impervious Surface Mapping Using <i>C</i>-Band and <i>L</i>-Band Polarimetric SAR Data-Reference-Cited by-同舟云学术

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SCFN: A Deep Network for Functional Urban Impervious Surface Mapping Using C-Band and L-Band Polarimetric SAR Data

Published:2024 Issue: Volume:17 Page:13149-13161
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:

Ling Jing¹^ORCID,Zhang Hongsheng¹^ORCID,Liu Rui¹^ORCID,Lin Yinyi¹

Affiliation:

1. Department of Geography, The University of Hong Kong, Hong Kong, China

Funder

Research Grants Council

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Seed Funding for Strategic Interdisciplinary Research Scheme of The University of Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10598319.pdf?arnumber=10598319

Reference51 articles.

1. Future Coastal Population Growth and Exposure to Sea-Level Rise and Coastal Flooding - A Global Assessment

2. Coastal Systems

3. Remote sensing of impervious surface growth: A framework for quantifying urban expansion and re-densification mechanisms

4. Improving Urban Land Cover Classification in Cloud-Prone Areas with Polarimetric SAR Images

5. Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests

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