DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification-Reference-Cited by-同舟云学术

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DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wu Qianqian¹^ORCID,Ma Xianping¹^ORCID,Sui Jialu¹^ORCID,Pun Man-On²^ORCID

Affiliation:

1. Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen, China

2. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

Funder

Guangdong Provincial Key Laboratory of Future Networks of Intelligence

Basic and Applied Basic Research Foundation of Guangdong Province

DeRUCCI Company Ltd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10556641.pdf?arnumber=10556641

Reference73 articles.

1. Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations

2. Local Climate Zones for Urban Temperature Studies

3. Using Local Climate Zone scheme for UHI assessment: Evaluation of the method using mobile measurements

4. SUHI analysis using Local Climate Zones—A comparison of 50 cities

5. Advances of Local Climate Zone Mapping and Its Practice Using Object-Based Image Analysis

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