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检索条件"机构=Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems"
527 条 记 录,以下是201-210 订阅
排序:
Automatic Extraction of Supraglacial Lake using SAR Imagery and Deep Learning
Automatic Extraction of Supraglacial Lake using SAR Imagery ...
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IEEE International Conference on Radar
作者: Jiang Di Li Xinwu Gong Chen Hong Wen Wu Yirong Aerospace Information Research Institute Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing China
Supraglacial lake plays an important role in ice sheet dynamics, mass balance and sea level rise. Therefore, it is of great importance to extract supraglacial lake and obtain its spatial-temporal distribution or chang... 详细信息
来源: 评论
An Approach for Spaceborne InSAR DEM Inversion Integrated with Stereo-SAR Method  6
An Approach for Spaceborne InSAR DEM Inversion Integrated wi...
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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
作者: Li, Fangfang Zhang, Yueting Qiu, Xiaolan Key Laboratory of Geo-spatial Information Processing and Application System Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing China
Spaceborne Interferometric Synthetic Aperture Radar (InSAR) has the capability of high precise topographic mapping for large area. However, on the one hand, digital elevation models (DEM) inversion needs at least one ... 详细信息
来源: 评论
Image super-resolution quality assessment: Structural fidelity versus statistical naturalness
arXiv
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arXiv 2021年
作者: Zhou, Wei Wang, Zhou Chen, Zhibo Dept. of Electrical and Computer Engineering University of Waterloo WaterlooONN2L3G1 Canada CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Single image super-resolution (SISR) algorithms reconstruct high-resolution (HR) images with their low-resolution (LR) counterparts. It is desirable to develop image quality assessment (IQA) methods that can not only ... 详细信息
来源: 评论
A Pylon Detection Method Based on Faster R-CNN in High-Resolution SAR Images
A Pylon Detection Method Based on Faster R-CNN in High-Resol...
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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)
作者: Lv Xiaoling Jiankun Chen Xiaolan Qiu Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering Aerospace Information Research Institute University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Aerospace Information Research Institute Chinese Academy of Sciences Beijing China
SyntheticAperture Radar (SAR) is an active microwave imaging system, which can provide all-time and allweather imaging with a wide observation range. In sub-meter high-resolution SAR images, man-made metallic targets,... 详细信息
来源: 评论
Electromagnetic Simulation Aided SAR Target Classification Via Deep Domain Adaptation
Electromagnetic Simulation Aided SAR Target Classification V...
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IEEE International Conference on Radar
作者: Xiaoling Lv Xiaolan Qiu Wenming Yu Aerospace Information Research Institute Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-Spatial Information Processing and Application System Suzhou Aerospace Information Research Institute Suzhou China State key Laboratory of Millimeter Waves Southeast University Nanjing China
Convolutional neural networks (CNNs) have made tremendous success in optical images classification recently. However, in synthetic aperture radar (SAR) target classification, it is difficult to annotate a large amount... 详细信息
来源: 评论
A Multiple Moving Ships Detection Method for GF-4 Satellite Image in Thin-Cloud Environment  1
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6th China High Resolution Earth Observation Conference, CHREOC 2019
作者: Lv, Peng Hu, Yuxin Li, Qianqian Hou, Yangshuan Wang, Xiaohui Lei, Bin Institute of Electronics Chinese Academy of Sciences Beijing China Key Laboratory of Spatial Information Processing and Application System Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
At present, the GF-4 satellite is the world’s highest resolution geostationary orbit optical imaging satellite. The GF-4 satellite has the advantages of wide-swath and high-frequency imaging, so it can provide quasi-... 详细信息
来源: 评论
A Hybrid and Explainable Deep Learning Framework for SAR Images
A Hybrid and Explainable Deep Learning Framework for SAR Ima...
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IEEE International Symposium on geoscience and Remote Sensing (IGARSS)
作者: Zhongling Huang Mihai Datcu Zongxu Pan Bin Lei Key Laboratory of Technology in Geo-spatial Information Processing and Application System CAS Remote Sensing Technology Institute (IMF) German Aerospace Center (DLR)
Deep learning based patch-wise Synthetic Aperture Radar (SAR) image classification usually requires a large number of labeled data for training. Aiming at understanding SAR images with very limited annotation and taki... 详细信息
来源: 评论
Two-Step Bistatic Spaceborne Sliding-Spotlight SAR Imaging Agorithm Based on Accurate Range Model
Two-Step Bistatic Spaceborne Sliding-Spotlight SAR Imaging A...
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IEEE International Symposium on geoscience and Remote Sensing (IGARSS)
作者: Jianbing Xiang Xiaolei Lv Xikai Fu Ye Yun University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems Aerospace Information Research Institute Chinese Academy of Sciences Beijing China
The slant range errors caused by traditional hyperbolic range equation (THRE) with stop-and-go assumption will lead to image defocusing in high resolution spaceborne sliding-spotlight Bistatic SAR system (ST-BiSAR). I... 详细信息
来源: 评论
Multi-aspect Tomographic SAR Imaging Approach via Distributed Compressed Sensing and Joint Sparsity
Multi-aspect Tomographic SAR Imaging Approach via Distribute...
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IEEE International Conference on Radar
作者: Bang Du Zhe Zhang Xiaolan Qiu Bin Lei Chibiao Ding Key Laboratory of Technology in Geo-spatial Information Processing and Application System Aerospace Information Research Institute (of Chinese Academy of Sciences) University of Chinese Academy of Sciences Beijing China Aerospace Information Research Institute Chinese Academy of Sciences Suzhou China Aerospace Information Research Institute (of Chinese Academy of Sciences) Beijing China
Synthetic aperture radar (SAR) tomography (TomoSAR) is a novel technique that enables three-dimensional (3-D) imaging and plays an important role in urban remote sensing by utilizing multiple observations of the same ... 详细信息
来源: 评论
Sasl: Saliency-adaptive sparsity learning for neural network acceleration
arXiv
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arXiv 2020年
作者: Shi, Jun Xu, Jianfeng Tasaka, Kazuyuki Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China KDDI Research Japan
Accelerating the inference speed of CNNs is critical to their deployment in real-world applications. Among all the pruning approaches, those implementing a sparsity learning framework have shown to be effective as the... 详细信息
来源: 评论