A Modified U-Net for Oil Spill Semantic Segmentation in Sar Images-Reference-Cited by-同舟云学术

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A Modified U-Net for Oil Spill Semantic Segmentation in Sar Images

Published:2024-07-07 Issue: Volume: Page:2945-2948
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Chang Lena¹,Chen Yi-Ting²,Chang Yang-Lang³

Affiliation:

1. National Taiwan Ocean University,Department of Communications, Navigation and Control Engineering,Keelung,Taiwan

2. National Taiwan Ocean University,Department of Electrical Engineering,Keelung,Taiwan

3. National Taipei University of Technology,Department of Electrical Engineering,Taipei,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642291.pdf?arnumber=10642291

Reference7 articles.

1. Towards an automated ocean feature detection, extraction and classification scheme for SAR imagery

2. A region-based GLRT detection of oil spills in SAR images

3. Oil Spill Identification from Satellite Images Using Deep Neural Networks

4. A Deep-Learning Framework for the Detection of Oil Spills from SAR Data

5. Deep Learning Based Oil Spill Classification Using Unet Convolutional Neural Network

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