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A self-paced learning algorithm for change detection in synthetic aperture radar images

机译：一种自定节奏学习算法，用于改变合成孔径雷达图像的变化检测

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Ronghua Shang; Yijing Yuan; Licheng Jiao; Yang Meng; Amir Masoud Ghalamzan;
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年度 2018
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1. A self-paced learning algorithm for change detection in synthetic aperture radar images [J] . Shang Ronghua, Yuan Yijing, Jiao Licheng, Signal processing . 2018,第jana期

机译：用于合成孔径雷达图像变化检测的自定步学习算法
2. Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms [J] . JiaoShi, JiajiWu, AnandPaul, Mathematical Problems in Engineering: Theory, Methods and Applications . 2014,第3期

机译：基于模糊主动轮廓模型和遗传算法的合成孔径雷达图像变化检测
3. A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images [J] . Li Yangyang, Peng Cheng, Chen Yanqiao, IEEE Transactions on Geoscience and Remote Sensing . 2019,第8期

机译：一种深度学习的合成孔径雷达图像变化检测方法
4. Sea Ice Change Detection from Synthetic Aperture Radar Images Based on Self-Paced Boosting Learning [C] . Qun Wang, Feng Gao, Junyu Dong, International Workshop on Earth Observation and Remote Sensing Applications . 2018

机译：基于自定步距学习的合成孔径雷达图像海冰变化检测
5. The exploitation of multi-look synthetic aperture radar and inverse synthetic aperture radar images for non-cooperative target recognition [D] . Papson, Scott 2007

机译：多视角合成孔径雷达和逆合成孔径雷达图像的非合作目标识别开发
6. Two-Stage Multi-Task Representation Learning for Synthetic Aperture Radar (SAR) Target Images Classification [O] . Xinzheng Zhang, Yijian Wang, Zhiying Tan, 2017

机译：合成孔径雷达（SAR）目标图像分类的两阶段多任务表示学习
7. Categorization and change detection using synthetic aperture radar data with deep learning algorithm [O] . Obal Aleš 2018

机译：利用深度学习算法的合成孔径雷达数据进行分类和变化检测
8. New Algorithms and Sparse Regularization for Synthetic Aperture Radar Imaging. [R] . Demanet, L. 2015

机译：合成孔径雷达成像的新算法和稀疏正则化。

A self-paced learning algorithm for change detection in synthetic aperture radar images

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