Adaptive oil spill detection network for scene-based PolSAR data using dynamic convolution and boundary constraints-Reference-Cited by-同舟云学术

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Adaptive oil spill detection network for scene-based PolSAR data using dynamic convolution and boundary constraints

Published:2024-06 Issue: Volume:130 Page:103914
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Song Dongmei,Huang Qianqian,Gao Han^ORCID,Wang Bin,Zhang Jie,Chen Weimin

Publisher

Elsevier BV

Reference34 articles.

1. Oil spill detection by imaging radars: Challenges and pitfalls;Alpers;Remote Sens. Environ.,2017

2. SegNet: a deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. Large-scale detection and categorization of oil spills from SAR images with deep learning;Bianchi;Remote Sens.,2020

4. An analysis of severity of oil spill caused by vessel accidents;Cakir;Transport. Res. Part D-Transport. Environ.,2021

5. Oil spill segmentation in SAR images using convolutional neural networks. a comparative analysis with clustering and logistic regression algorithms;Cantorna;Appl. Soft Comput.,2019

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