Rotation-Aware Building Instance Segmentation From High-Resolution Remote Sensing Images-Reference-Cited by-同舟云学术

Rotation-Aware Building Instance Segmentation From High-Resolution Remote Sensing Images

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhao Wufan¹^ORCID,Na Jiaming²^ORCID,Li Mengmeng³^ORCID,Ding Hu⁴^ORCID

Affiliation:

1. Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands

2. College of Civil Engineering, Nanjing Forestry University, Nanjing, China

3. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Academy of Digital China (Fujian), Fuzhou University, Fuzhou, China

4. School of Geography, South China Normal University, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09858186.pdf?arnumber=9858186

Reference12 articles.

1. Classification with an edge: Improving semantic image segmentation with boundary detection

2. Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images

3. Mask R-CNN

4. Deep level set for box-supervised instance segmentation in aerial images;li;arXiv 2112 03451,2021

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