Marine Aquaculture Information Extraction from Optical Remote Sensing Images via MDOAU2-net-Reference-Cited by-同舟云学术

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Marine Aquaculture Information Extraction from Optical Remote Sensing Images via MDOAU2-net

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:2022 12th International Conference on Information Science and Technology (ICIST)
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Author:

Kuang Guanghu¹,Wang Jichao²,Fan Jianchao³,Wang Jun¹

Affiliation:

1. School of Computer Science and Engineering, Chongqing Three Gorges University,Wanzhou, Chongqing,China,404020

2. Hong Kong Centre for Logistics Robotics,Shatin, NT,Hong Kong

3. National Mar. Environ. Monitor. Cent.,Depart. of Marine Remote Sensing,Dalian,China,116023

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926748/9926742/09926847.pdf?arnumber=9926847

Reference20 articles.

1. Attention u-net: Learning where to look for the pancreas;oktay;Proc of Conf on Medical Imaging with Deep Learning,2018

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

4. Automatic Raft Labeling for Remote Sensing Images via Dual-Scale Homogeneous Convolutional Neural Network

5. Extracting Raft Aquaculture Areas from Remote Sensing Images via an Improved U-Net with a PSE Structure

Cited by 1 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. Multi-source remote sensing big data mining reveals cross-regional correlation between aquaculture and Enteromorpha disaster outbreaks;Geo-spatial Information Science;2024-05-17

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