Extraction of Aquaculture Cages from High-Resolution Remote Sensing Images Based on Deep Learning-Reference-Cited by-同舟云学术

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Extraction of Aquaculture Cages from High-Resolution Remote Sensing Images Based on Deep Learning

Published:2024-07-07 Issue: Volume: Page:9556-9560
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Yuan Ying¹,Li Fei²,Zhou Dan¹,Bai Lu³,Jurek-Loughrey Anna³,Wang Zhibao¹

Affiliation:

1. Northeast Petroleum University,School of Computer and Information Technology,Daqing,China

2. Heilongjiang Bayi Agricultural University,College of Information and Electrical Engineering,Daqing,China

3. Queen’s University Belfast,School of Electronics, Electrical Engineering and Computer Science,Belfast,UK

Funder

Northeast Petroleum University

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642555.pdf?arnumber=10642555

Reference16 articles.

1. Mariculture: A global analysis of production trends since 1950

2. A remote sensing data management system for sea area usage management in China

3. Object detection in optical remote sensing images: A survey and a new benchmark

4. Detection of industrial storage tanks at the city-level from optical satellite remote sensing images

5. Application of an Improved U-Net Neural Network on Fracture Segmentation from Outcrop Images

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