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检索条件"机构=Key Laboratory of Technology in Geo Spatial Information Processing and Application System"
521 条 记 录,以下是281-290 订阅
SAR TARGET CLASSIFICATION WITH CYCLEGAN TRANSFERRED SIMULATED SAMPLES
SAR TARGET CLASSIFICATION WITH CYCLEGAN TRANSFERRED SIMULATE...
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IEEE International geoscience and Remote Sensing Symposium
作者: Lei Liu Zongxu Pan Xiaolan Qiu Lingxiao Peng Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China
Target classification is an important part in automatic target recognition (ATR) systems. Deep learning methods get state of the art performance in SAR target classification. Simulation is a useful data augmentation m... 详细信息
来源: 评论
SUPER-RESOLUTION OF REMOTE SENSING IMAGES BASED ON TRANSFERRED GENERATIVE ADVERSARIAL NETWORK
SUPER-RESOLUTION OF REMOTE SENSING IMAGES BASED ON TRANSFERR...
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IEEE International geoscience and Remote Sensing Symposium
作者: Wen Ma Zongxu Pan Jiayi Guo Bin Lei Key Laboratory of Technology in Geo-spatial Information Processing and Application System Chinese Academy of Sciences Beijing China
Single image super-resolution (SR) has been widely studied in recent years as a crucial technique for remote sensing applications. This paper proposes a SR method for remote sensing images based on a transferred gener... 详细信息
来源: 评论
Curved-path SAR geolocation error analysis based on BP algorithm  38
Curved-path SAR geolocation error analysis based on BP algor...
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38th Annual IEEE International geoscience and Remote Sensing Symposium, IGARSS 2018
作者: Liu, Junbin Qiu, Xiaolan Huang, Lijia Ding, Chibiao Liu, Ming University of Chinese Academy of Sciences China Key Laboratory of Technology in Geo-spatial Information Processing and Application System CAS China Institute of Electronics Chinese Academy of Sciences China National Disaster Reduction Center Ministry of Civil Affairs NDRCC China
The theoretical modeling and analysis of SAR location error play an important role in SAR system design and error source budget. Existing SAR geolocation error models are mainly implicit, which are not easy to do anal... 详细信息
来源: 评论
InSAR DEM Reconstruction Based on Backprojection Algorithm in Two Converse Flights
InSAR DEM Reconstruction Based on Backprojection Algorithm i...
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Asian and Pacific Conference on Synthetic Aperture Radar (APSAR)
作者: Xiaoning Hu Maosheng Xiang Bingnan Wang Xikai Fu University of Chinese Academy of Sciences National Key Laboratory of Science and Technology on Microwave Imaging Institute of Electronics Chinese Academy of Sciences Beijing China National Key Laboratory of Science and Technology on Microwave Imaging Institute of Electronics Chinese Academy of Sciences Beijing China Key Laboratory of Technology in Geo-spatial Information Processing and Application System Institute of Electronics Chinese Academy of Sciences Beijing China
Interferometric synthetic aperture radar (InSAR) can be used to extract digital elevation model (DEM) with high accuracy. However, the side looking geometry of synthetic aperture radar (SAR) may cause geometric distor...
来源: 评论
SDM: Semantic Distortion Measurement for Video Encryption
SDM: Semantic Distortion Measurement for Video Encryption
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International Conference on Automatic Face and Gesture Recognition
作者: Yongquan Hu Wei Zhou Shuxin Zhao Zhibo Chen Weiping Li CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Semantic information is important in video encryption. However, existing image quality assessment (IQA) methods, such as the peak signal to noise ratio (PSNR), are still widely applied to measure the encryption securi... 详细信息
来源: 评论
Multiscale Progressive Image Compression Network Guided by Learnable Just Noticeable Distortion
Multiscale Progressive Image Compression Network Guided by L...
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IEEE Visual Communications and Image processing (VCIP)
作者: Xin Jin Runchun Ye Zhibo Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
One key challenge to the learning-based image compression is that adaptive bit allocation is crucial for compression effectiveness but can hardly be trained into a neural network. Hereby, in this work, We presents an ... 详细信息
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Convolutional Neural Network-Based Residue Super-Resolution for Video Coding
Convolutional Neural Network-Based Residue Super-Resolution ...
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IEEE Visual Communications and Image processing (VCIP)
作者: Kang Liu Dong Liu Houqiang Li Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
Inspired by the progress of image and video super-resolution (SR) achieved by convolutional neural network (CNN), we propose a CNN-based residue SR method for video coding. Different from the previous works that opera... 详细信息
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LEARNED SCALABLE IMAGE COMPRESSION WITH BIDIRECTIONAL CONTEXT DISENTANGLEMENT NETWORK
arXiv
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arXiv 2018年
作者: Zhang, Zhizheng Chen, Zhibo Lin, Jianxin Li, Weiping CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
In this paper, we propose a learned scalable/progressive image compression scheme based on deep neural networks (DNN), named Bidirectional Context Disentanglement Network (BCD-Net). For learning hierarchical represent... 详细信息
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Generative Adversarial Network-Based Frame Extrapolation for Video Coding
Generative Adversarial Network-Based Frame Extrapolation for...
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IEEE Visual Communications and Image processing (VCIP)
作者: Jianping Lin Dong Liu Houqiang Li Feng Wu CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei China
Motion estimation and motion compensation are fundamental in video coding to remove the temporal redundancy between video frames. The current video coding schemes usually adopt block-based motion estimation and compen... 详细信息
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Learning based Facial Image Compression with Semantic Fidelity Metric
arXiv
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arXiv 2018年
作者: Chen, Zhibo He, Tianyu CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei China
Surveillance and security scenarios usually require high efficient facial image compression scheme for face recognition and identification. While either traditional general image codecs or special facial image compres... 详细信息
来源: 评论