BOMSC-Net: Boundary Optimization and Multi-Scale Context Awareness Based Building Extraction From High-Resolution Remote Sensing Imagery-Reference-Cited by-同舟云学术

BOMSC-Net: Boundary Optimization and Multi-Scale Context Awareness Based Building Extraction From High-Resolution Remote Sensing Imagery

Published:2022 Issue: Volume:60 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhou Yuan¹^ORCID,Chen Zhanlong²^ORCID,Wang Bin²^ORCID,Li Shuangjiang²,Liu Hao²,Xu Daozhu³,Ma Chao³

Affiliation:

1. School of National Engineering Research Center of Geographic Information System, China University of Geosciences, Wuhan, China

2. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

3. Xi’an Research Institute of Surveying and Mapping, Xi’an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities, China University of Geosciences, Wuhan, China

Opening Fund of Key Laboratory of Geological Survey and Evaluation, Ministry of Education and the Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09716137.pdf?arnumber=9716137

Reference65 articles.

1. Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion

2. A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction

3. Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters

4. Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network

5. Boundary Enhancement Semantic Segmentation for Building Extraction From Remote Sensed Image

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