An Approach for Integrating SAR Imagery in Sea-Land Segmentation and Coastline Detection-Reference-Cited by-同舟云学术

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An Approach for Integrating SAR Imagery in Sea-Land Segmentation and Coastline Detection

Published:2024-07-07 Issue: Volume:8 Page:9525-9529
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Zhu Renke¹,Xiong Mingkang²,Zhang Tao¹,Wei Feiming¹,Quan Sinong³,Yu Wenxian¹

Affiliation:

1. Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240

2. Midea Corporate Research Center, Midea Group,Foshan,China,528311

3. National University of Defense Technology,College of Electronic Science and Technology,Changsha,China,410073

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641879.pdf?arnumber=10641879

Reference12 articles.

1. Land-sea separation and sea surface zoning algorithms for sea surface target;Ning;Journal of Radars,2019

2. Environment Monitoring of Shanghai Nanhui Intertidal Zone With Dual-Polarimetric SAR Data Based on Deep Learning

3. Methods of determining search area for SAR at sea

4. Sea-land segmentation method for sar images based on improved bisenet;Boli;Journal of Radar,2020

5. High-precision water segmentation from synthetic aperture radar images based on local super-resolution restoration technology;Ning;Journal of Radars,2020

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