PCL–PTD Net: Parallel Cross-Learning-Based Pixel Transferred Deconvolutional Network for Building Extraction in Dense Building Areas With Shadow-Reference-Cited by-同舟云学术

PCL–PTD Net: Parallel Cross-Learning-Based Pixel Transferred Deconvolutional Network for Building Extraction in Dense Building Areas With Shadow

Published:2023 Issue: Volume:16 Page:773-786
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:

Boonpook Wuttichai¹^ORCID,Tan Yumin²^ORCID,Torsri Kritanai³^ORCID,Kamsing Patcharin⁴,Torteeka Peerapong⁵,Nardkulpat Attawut¹^ORCID

Affiliation:

1. Department of Geography, Faculty of Social Sciences, Srinakharinwirot University, Bangkok, Thailand

2. School of Transportation Science and Engineering, Beihang University, Beijing, China

3. Ministry of Higher Education, Science, Research and Innovation, Hydro-Informatics Institute, Bangkok, Thailand

4. Air-Space Control, Optimization and Management Laboratory, Department of Aeronautical Engineering, International Academy of Aviation Industry, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

5. National Astronomical Research Institute of Thailand, Chiangmai, Thailand

Funder

Chinese National Key R&D Program

Wildfire Risk Area Project

Thai Space Consortium Pathfinder Satellite

King Mongkut's Institute of Technology Ladkrabang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/09991822.pdf?arnumber=9991822