DMAM-UNET:An Improved Unet Semantic Segmentation for Water Body Extraction from Remotely Sensed Image-Reference-Cited by-同舟云学术

DMAM-UNET:An Improved Unet Semantic Segmentation for Water Body Extraction from Remotely Sensed Image

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
language:
Short-container-title:

Author:

Liu Zirong¹,Liu Xinlong²,Yu Menghui³,Yang Xiaohong¹

Affiliation:

1. China University of Geosciences,School of Computer Science,Wuhan,China,430074

2. Wuhan Digital Twin of China Geology Technology Co., Ltd

3. China University of Geosciences,National Engineering Research Center of Geographic Information System,Wuhan,China,430074

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283313.pdf?arnumber=10283313

Reference13 articles.

1. A Remote Sensing Image Registration Algorithm Based on Multiple Constraints and a Variational Bayesian Framework

2. Unet++: A nested u-net architecture for medical image segmentation;zhou;Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support,2018

3. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

4. Encoder-decoder with atrous separable convolution for semantic image segmentation;chen;Computer Vision – ECCV 2018,2018

5. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features

Cited by 2 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. Cloud Detection Method Based on Improved DeeplabV3+ Remote Sensing Image;IEEE Access;2024

2. CNN Based New Paths Definition and Navigation;Information Systems Engineering and Management;2024