Ground Target Classification in Noisy SAR Images Using Convolutional Neural Networks

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2018.2871556 ◽

2018 ◽

Vol 11 (11) ◽

pp. 4180-4192 ◽

Author(s):

Jun Wang ◽

Tong Zheng ◽

Peng Lei ◽

Xiao Bai

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Target Classification ◽

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Oil Spill Detection Based on Deep Convolutional Neural Networks using Polarimetric Scattering Information from Sentinel-1 SAR Images

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3126175 ◽

2021 ◽

pp. 1-1

Author(s):

Xiaoshuang Ma ◽

Jiangong Xu ◽

Penghai Wu ◽

Peng Kong

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Oil Spill ◽

Deep Convolutional Neural Networks ◽

Oil Spill Detection

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Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127432 ◽

2017 ◽

Author(s):

Carolyne Danilla ◽

Claudio Persello ◽

Valentyn Tolpekin ◽

John Ray Bergado

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

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Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks

2016 23rd International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2016.7900011 ◽

2016 ◽

Author(s):

David P. Williams

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Synthetic Aperture ◽

Target Classification ◽

Deep Convolutional Neural Networks ◽

Synthetic Aperture Sonar ◽

Underwater Target

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Moving Target Classification with a Dual Automotive FMCW Radar System Using Convolutional Neural Networks

2021 21st International Radar Symposium (IRS) ◽

10.23919/irs51887.2021.9466195 ◽

2021 ◽

Author(s):

Steven Duong ◽

Daniel Kahrizi ◽

Sven Mettler ◽

Clemens Klock

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Radar System ◽

Moving Target ◽

Target Classification ◽

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Inversion of Rough Surface Parameters From SAR Images Using Simulation-Trained Convolutional Neural Networks

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2018.2822821 ◽

2018 ◽

Vol 15 (7) ◽

pp. 1130-1134 ◽

Author(s):

Tao Song ◽

Lei Kuang ◽

Lingyan Han ◽

Yuheng Wang ◽

Qing Huo Liu

Keyword(s):

Neural Networks ◽

Rough Surface ◽

Convolutional Neural Networks ◽

Surface Parameters

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Transfer Learning with SAS-Image Convolutional Neural Networks for Improved Underwater Target Classification

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8898611 ◽

2019 ◽

Author(s):

David P. Williams

Keyword(s):

Neural Networks ◽

Transfer Learning ◽

Convolutional Neural Networks ◽

Target Classification ◽

Underwater Target

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Target classification in oceanographic SAR images with deep neural networks: Architecture and initial results

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326627 ◽

2015 ◽

Author(s):

Carlos Bentes ◽

Domenico Velotto ◽

Susanne Lehner

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Target Classification ◽

Initial Results

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Multi-Scale Ship Detection in SAR Images Based on Multiple Attention Cascade Convolutional Neural Networks

10.1109/icvris51417.2020.00110 ◽

2020 ◽

Author(s):

Guo Jianxin ◽

Wang Zhen ◽

Zhang Shanwen

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Ship Detection ◽

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A novel convolutional neural networks based scheme for SAR images despeckling

IET International Radar Conference (IET IRC 2020) ◽

10.1049/icp.2021.0592 ◽

2021 ◽

Author(s):

C. Chen ◽

Q. Liu ◽

Y. Hu ◽

S. Shen ◽

S. Tao

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

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Distinction Between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks

AI 2018: Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-03991-2_22 ◽

2018 ◽

pp. 216-223

Author(s):

Xiaocai Zhang ◽

Yuansheng Liu ◽

Yi Zheng ◽

Zhixun Zhao ◽

Jinyan Li ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

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