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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251-260 订阅
排序:
Learned fast HEVC intra coding
arXiv
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arXiv 2019年
作者: Chen, Zhibo Shi, Jun Li, Weiping CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
In High Efficiency Video Coding (HEVC), excellent rate-distortion (RD) performance is achieved in part by having a flexible quadtree coding unit (CU) partition and a large number of intra-prediction modes. Such an exc... 详细信息
来源: 评论
A STUDY ON THE FREQUENCY AND AZIMUTH COHERENCE OF HIGH-RESOLUTION SAR IMAGE
A STUDY ON THE FREQUENCY AND AZIMUTH COHERENCE OF HIGH-RESOL...
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IEEE International geoscience and Remote Sensing Symposium
作者: Wenji Xing Xiaolan Qiu Chibiao Ding The Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing China
High-resolution SAR has large transmitting bandwidth and wide synthetic aperture. How to understand and take advantage of the variation characteristics of SAR scattering characteristics with angle and frequency is a t... 详细信息
来源: 评论
Unambiguous parameter estimation of radial velocity approach for airborne SAR-GMTI
Unambiguous parameter estimation of radial velocity approach...
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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)
作者: Ruipeng Xu Dandan Zhang Lijia Huang Donghui Hu Chibiao Ding Key Laboratory of Geo-spatial Information Processing and Application System Technology Institute of Electronics Chinese Academy of Sciences Beijing China
The ambiguous Doppler centroid causes incorrect estimation result of the radial velocity. For moving targets with fast radial velocity, an unambiguous estimation approach of the radial velocity is introduced for the a... 详细信息
来源: 评论
RC-CNN: Representation-Consistent Convolutional Neural Networks for Achieving Transformation Invariance
RC-CNN: Representation-Consistent Convolutional Neural Netwo...
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IEEE International Conference on systems, Man and Cybernetics
作者: Jun Gu Anfeng He Xinmei Tian CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei Anhui China
Convolutional neural networks (CNNs) are powerful and have achieved state-of-the-art performance in many visual recognition tasks. Despite their impressive performance, CNNs are still unable to remain invariant while ... 详细信息
来源: 评论
Quality assessment of stereoscopic 360-degree images from multi-viewports
arXiv
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arXiv 2019年
作者: Xu, Jiahua Luo, Ziyuan Zhou, Wei Zhang, Wenyuan Chen, Zhibo CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Objective quality assessment of stereoscopic panoramic images becomes a challenging problem owing to the rapid growth of 360-degree contents. Different from traditional 2D image quality assessment (IQA), more complex ... 详细信息
来源: 评论
Two-stream action recognition-oriented video super-resolution
arXiv
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arXiv 2019年
作者: Zhang, Haochen Liu, Dong Xiong, Zhiwei CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition methods based on convolutional networks, ... 详细信息
来源: 评论
Learning for video compression
arXiv
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arXiv 2018年
作者: Chen, Zhibo He, Tianyu Jin, Xin Wu, Feng CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into a neural network. In this paper we propose the concept of... 详细信息
来源: 评论
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision
arXiv
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arXiv 2023年
作者: Sheng, Xihua Li, Li Liu, Dong Li, Houqiang The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Almost all digital videos are coded into compact representations before being transmitted. Such compact representations need to be decoded back to pixels before being displayed to humans and – as usual – before bein... 详细信息
来源: 评论
Hierarchical co-segmentation of 3D point clouds for indoor scene
Hierarchical co-segmentation of 3D point clouds for indoor s...
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International Conference on systems, Signals and Image processing, IWSSIP
作者: Yanting Lin CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei City China
Segmentation of point clouds has been studied under a variety of scenarios. However, the segmentation of scanned point clouds for a clustered indoor scene remains significantly challenging due to noisy and incomplete ... 详细信息
来源: 评论
Improving Wetland Mapping by Using Multi-Source Data Sets
Improving Wetland Mapping by Using Multi-Source Data Sets
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International Symposium on Image and Data Fusion (ISIDF)
作者: Luyan Ji Kang Jiang Xiurui Geng Hairong Tang Kai Yu Yongchao Zhao Key Laboratory of Technology in Geo-spatial information Processing and Application System Institute of Electronics Chinese Academy of Science Beijing China
To conserve and manage wetland resources, it is important to map wetlands and monitor their changes. However, wetland mapping is difficult because of spectral confusion with other landcover classes and spectral variab... 详细信息
来源: 评论