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检索条件"机构=CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems"
457 条 记 录,以下是191-200 订阅
排序:
Prior-enlightened and motion-robust video deblurring
arXiv
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arXiv 2020年
作者: Zhou, Ya Xu, Jianfeng Tasaka, Kazuyuki Chena, Zhibo Li, Weiping CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230026 China KDDI Research Inc. Fujimino-shi Saitama356-8502 Japan
Various blur distortions in video will cause negative impact on both human viewing and video-based applications, which makes motion-robust deblurring methods urgently needed. Most existing works have strong dataset de... 详细信息
来源: 评论
Static Background Imaging and Moving Target Signature Removal in Multiaspect SAR Image  6
Static Background Imaging and Moving Target Signature Remova...
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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
作者: Shen, Wenjie Hong, Wen Han, Bing Wang, Yanping Lin, Yun Key Laboratory of Technology in Geo-spatial Information Processing and Application System Beijing China Beijing China Beijing China North China University of Technology Beijing China
Multiaspect SAR has capability of providing high resolution image of static scene due to its long aperture feature. However, moving target can generate long and complex image trace in Multiaspect SAR, which may hamper... 详细信息
来源: 评论
Beyond triplet loss: Meta prototypical N-tuple loss for person re-identification
arXiv
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arXiv 2020年
作者: Zhang, Zhizheng Lan, Cuiling Zeng, Wenjun Chen, Zhibo Chang, Shih-Fu The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Anhui Hefei China Microsoft Research Asia Beijing China Columbia University New YorkNY United States
Person Re-identification (ReID) aims at matching a person of interest across images. In convolutional neural network (CNN) based approaches, loss design plays a vital role in pulling closer features of the same identi... 详细信息
来源: 评论
Stereo Matching of VHR Remote Sensing Images via Bidirectional Pyramid Network
Stereo Matching of VHR Remote Sensing Images via Bidirection...
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IEEE International Symposium on geoscience and Remote Sensing (IGARSS)
作者: Rongshu Tao Yuming Xiang Hongjian You Key Laboratory of Technology in Geo-spatial Information Processing and Application System Aerospace Information Research Institute Chinese Academy of Science Beijing China University of Chinese Academy of Sciences Beijing China
Stereo matching, an essential step in 3D reconstruction, still faces unignorable problems due to the very high resolution and complex structures of remote sensing images. Especially in occluded areas of high buildings... 详细信息
来源: 评论
Phase Transition Analysis for Compressive Sensing Based DoA Estimation in Automotive Radar
Phase Transition Analysis for Compressive Sensing Based DoA ...
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International Radar Symposium (IRS)
作者: Yan Zhang Silin Gao Mingqian Liu Bingchen Zhang Yirong Wu Chinese Academy of Sciences Aerospace Information Research Institute Beijing China University of Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-spatial Information and Processing Application System Beijing China
In automotive radar applications, the compressive sensing (CS) based DoA estimation is used in array signal processing in recent years. Sparse reconstruction has the potential to estimate the direction of arrival (DoA... 详细信息
来源: 评论
On the Use of Axial Ratio to Analysis Transmit Distortions in Hybrid Polarimetry and Their Influence to Canonical Scattering Mechanisms  6
On the Use of Axial Ratio to Analysis Transmit Distortions i...
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6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
作者: Chen, Shiqiang Hong, Wen Key Laboratory of Technology in Geo-spatial Information Processing and Application System Beijing China Institute of Electronics Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China
Transmit distortions in the hybrid polarimetric (HP) SAR cannot be compensated simply with external calibration methods. Therefore, it is necessary to analysis their influence on HP data. In this study, we have propos... 详细信息
来源: 评论
SAR image classification based on spiking neural network through spike-time dependent plasticity and gradient descent
arXiv
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arXiv 2021年
作者: Chen, Jiankun Qiu, Xiaolan Ding, Chibiao Wu, Yirong National Key Laboratory of Science and Technology on Microwave Imaging Institute of Electronics Aerospace Information Research Institute Beijing10090 China The Key Laboratory of Technology in Geo-spatial Information Processing and Application System Aerospace Information Research Institute Chinese Academy of Sciences Beijing10090 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100190 China Suzhou Research Institute Aerospace Information Research Institute Chinese Academy of Sciences Suzhou215123 China The University of Chinese Academy of Sciences Beijing10049 China
At present, the Synthetic Aperture Radar (SAR) image classification method based on convolution neural network (CNN) has faced some problems such as poor noise resistance and generalization ability. Spiking neural net... 详细信息
来源: 评论
Region Normalization for Image Inpainting
arXiv
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arXiv 2019年
作者: Yu, Tao Guo, Zongyu Jin, Xin Wu, Shilin Chen, Zhibo Li, Weiping Zhang, Zhizheng Liu, Sen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China China
Feature Normalization (FN) is an important technique to help neural network training, which typically normalizes features across spatial dimensions. Most previous image inpainting methods apply FN in their networks wi... 详细信息
来源: 评论
An Error-Based Block Adjustment Method for Multi-Angle Satellite Imagery Without Ground Control Points
An Error-Based Block Adjustment Method for Multi-Angle Satel...
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IEEE International geoscience and Remote Sensing Symposium
作者: Niangang Jiao Feng wang Hongjian You Kun Hu Mudan Yang Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems Institute of Electronics Beijing China
geo-positioning accuracy improvement is one of the most important step of remote sensing image preprocessing. Traditional methods require a large number of ground control points (GCPs) which consuming lots of manpower... 详细信息
来源: 评论
Tensor oriented no-reference light field image quality assessment
arXiv
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arXiv 2019年
作者: Zhou, Wei Shi, Likun Chen, Zhibo Cas Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027
Light field image (LFI) quality assessment is becoming more and more important, which helps to better guide the acquisition, processing and application of immersive media. However, due to the inherent high dimensional... 详细信息
来源: 评论