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A Novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

机译：遥感图像中海陆分割的新型深度结构U-Net

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Pourya Shamsolmoali; Masoumeh Zareapoor; Ruili Wang; Huiyu Zhou; Jie Yang;
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年度 2019
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1. A Novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images [J] . Shamsolmoali Pourya, Zareapoor Masoumeh, Wang Ruili, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2019,第9期

机译：一种用于海面遥感影像分割的新型深层结构U网
2. Sea-land segmentation for infrared remote sensing images based on superpixels and multi-scale features [J] . Lei Sen, Zou Zhengxia, Liu Dunge, Infrared physics and technology . 2018,第期

机译：基于Superpixels和多尺度特征的红外遥感图像的海上分割
3. Multi-feature sea-land segmentation based on pixel-wise learning for optical remote-sensing imagery [J] . Wang Dan, Cui Xinrui, Xie Fengying, International journal of remote sensing . 2017,第15a16期

机译：基于像素学习的光学遥感影像多特征海域分割
4. U-net based MRA framework for segmentation of remotely sensed images [C] . Pranjal Ranjan, Sarvesh Patil, Rizwan Ahmed Ansari International Conference on Artificial Intelligence and Signal Processing . 2020

机译：基于U-net的MRA框架用于分割遥感图像
5. Segmentation and Classification of Remotely Sensed Images: Object-Based Image Analysis. [D] . Syed, Abdul Haleem. 2015

机译：遥感图像的分割和分类：基于对象的图像分析。
6. COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet [O] . Adnan Saood, Iyad Hatem 2021

机译：Covid-19肺CT图像分割使用深度学习方法：U-Net与SEGNET
7. Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images [O] . Ziyi Chen, Dilong Li, Wentao Fan, 2021

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8. Automated Selection of Results in Hierarchical Segmentations of Remotely Sensed Hyperspectral Images [R] . Plaza, A. J. , Tilton, J. C. 2005

机译：远程感知高光谱图像层次分割中结果的自动选择

A Novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

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