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	Degradation regression with uncertainty for blind super-resolution 期刊论文 NEUROCOMPUTING, 2024, 卷号: 582, 页码: 14 作者: Li, Shang; Zhang, Guixuan; Luo, Zhengxiong; Liu, Jie; Zeng, Zhi 收藏 \| 浏览/下载：3/0 \| 提交时间：2024/07/03 Blind super-resolution Degradation estimation Uncertainty learning
	Semantic Distance Adversarial Learning for Text-to-Image Synthesis 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 1255-1266 作者: Yuan, Bowen; Sheng, Yefei; Bao, Bing-Kun; Chen, Yi-Ping Phoebe; Xu, Changsheng 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/07/03 Text-to-image synthesis adversarial learning cycle consistency
	Online Semisupervised Active Classification for Multiview PolSAR Data 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429 作者: Nie, Xiangli; Fan, Mingyu; Huang, Xiayuan; Yang, Wenjing; Zhang, Bo 收藏 \| 浏览/下载：40/0 \| 提交时间：2022/07/25 Task analysis Feature extraction Heuristic algorithms Data models Manifolds Semisupervised learning Training Online active learning online multiview learning online semisupervised learning (SSL) polarimetric synthetic aperture radar (PolSAR) data classification
	Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots 会议论文 New Orleans, LA, USA, 18-24 June 2022 作者: Wang, Zejin; Liu, Jiazheng; Li, Guoqing; Han, Hua 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/05/31
	Online Semisupervised Active Classification for Multiview PolSAR Data 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429 作者: Nie, Xiangli; Fan, Mingyu; Huang, Xiayuan; Yang, Wenjing; Zhang, Bo 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/02/07 Task analysis Feature extraction Heuristic algorithms Data models Manifolds Semisupervised learning Training Online active learning online multiview learning online semisupervised learning (SSL) polarimetric synthetic aperture radar (PolSAR) data classification
	A Deep Learning Model to Extract Ship Size From Sentinel-1 SAR Images 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14 作者: Ren, Yibin; Li, Xiaofeng; Xu, Huan 收藏 \| 浏览/下载：42/0 \| 提交时间：2022/02/18 Marine vehicles Radar polarimetry Feature extraction Synthetic aperture radar Data mining Radar imaging Oceans Custom loss function deep learning (DL) deep neural network (DNN) regression ship size extraction synthetic aperture radar (SAR) image
	AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2782-2796 作者: Gao, Le; Li, Xiaofeng; Kong, Fanzhou; Yu, Rencheng; Guo, Yuan 收藏 \| 浏览/下载：26/0 \| 提交时间：2022/07/18 Algae MODIS Synthetic aperture radar Optical sensors Optical imaging Marine vehicles Spatial resolution Deep learning (DL) green algae detection satellite remote sensing
	The Fusion of Physical, Textural, and Morphological Information in SAR Imagery for Hurricane Wind Speed Retrieval Based on Deep Learning 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13 作者: Mu, Shanshan; Li, Xiaofeng; Wang, Haoyu 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/07/18 Hurricanes Synthetic aperture radar Wind speed Radar polarimetry Sea surface Sea measurements Data models Deep learning hurricane wind synthetic aperture radar (SAR)
	A Deep Learning Model for Green Algae Detection on SAR Images 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14 作者: Guo, Yuan; Gao, Le; Li, Xiaofeng 收藏 \| 浏览/下载：14/0 \| 提交时间：2023/01/04 Green products Algae Radar polarimetry Tides Ocean temperature Feature extraction Sea surface Deep learning (DL) green algae Sentinel-1 synthetic aperture radar (SAR) image Yellow Sea
	Online Multiview Deep Forest for Remote Sensing Image Classification via Data Fusion 期刊论文 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 8, 页码: 1456-1460 作者: Nie, Xiangli; Gao, Ruofei; Wang, Rui; Xiang, Deliang 收藏 \| 浏览/下载：59/0 \| 提交时间：2021/11/02 Vegetation Forestry Random forests Feature extraction Remote sensing Data models Training data Deep forest online multiview learning polarimetric synthetic aperture radar (PolSAR) remote sensing data classification

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