HigherNet-DST: Higher-Resolution Network With Dynamic Scale Training for Rooftop Delineation-Reference-Cited by-同舟云学术

HigherNet-DST: Higher-Resolution Network With Dynamic Scale Training for Rooftop Delineation

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

He Hongjie¹^ORCID,Ma Lingfei²^ORCID,Li Jonathan³^ORCID

Affiliation:

1. Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada

2. School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China

3. Department of Geography and Environmental Management and the Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

National Natural Science Foundation of China

Emerging Interdisciplinary Project of the Central University of Finance and Economics, China

China Scholarship Council for their support via a Doctoral Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10422848.pdf?arnumber=10422848

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4. Building extraction from oblique airborne imagery based on robust façade detection

5. Classifying a high resolution image of an urban area using super-object information