Automatic Urban Area Extraction From SAR Image Based on Morphological Operator-Reference-Cited by-同舟云学术

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Automatic Urban Area Extraction From SAR Image Based on Morphological Operator

Published:2021-05 Issue:5 Volume:18 Page:831-835
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Cho Keunhoo^ORCID,Park Sang-Eun^ORCID,Cho Jae-Hyung,Moon Hyoi,Han Seung-Hoon

Funder

Hanwha Systems Corporation for the Core Technology Research Project based on the Image Formation Using Flight Platform Radar in Remote Sensing, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9410508/09085385.pdf?arnumber=9085385

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An improved self-training network for building and road extraction in urban areas by integrating optical and radar remotely sensed data;Earth Science Informatics;2024-03-15

2. Developing an automatic training technique based on integration of radar and optical remotely sensed images for building extraction;Earth Science Informatics;2023-11-23

3. “Investigating and mapping day-night urban heat island and its driving factors using Sentinel/MODIS data and Google Earth Engine. Case study: Greater Cairo, Egypt”;Urban Climate;2023-11

4. A Detection Method for Collapsed Buildings Combining Post-Earthquake High-Resolution Optical and Synthetic Aperture Radar Images;Remote Sensing;2022-02-23

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