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检索条件"机构=Key Laboratory of Embedded Real-time Information Processing Technology"
968 条 记 录,以下是51-60 订阅
排序:
ECHO MODELING FOR ASTEROIDS WITH ROUGH SURFACE IN GOUND-BASED SAR IMAGING
ECHO MODELING FOR ASTEROIDS WITH ROUGH SURFACE IN GOUND-BASE...
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IET International Radar Conference 2023, IRC 2023
作者: Zhou, Ziyi Zhu, Kaiwen Wei, Yangkai Ding, Zegang School of Information and Electronics Beijing Institute of Technology Beijing China BeijingKey Laboratory of Embedded Real-Time Information Processing Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China
With the development of radar imaging technology, asteroid imaging has become one of the focal points in astronomical radar research. However, in simulation and verification experiments for asteroids observation, the ... 详细信息
来源: 评论
The Dual Path Multi-Feature Fusion Model combining CNN and Transformer for Age Estimation of Caenorhabditis elegans
The Dual Path Multi-Feature Fusion Model combining CNN and T...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Ding, Mengqian Liu, Jun Luo, Yang Wuhan University of Science and Technology School of Computer Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China
The relatively simple genome, short life cycle, and easy observation of Caenorhabditis elegans (C. elegans) make it an excellent model organism for aging research. Age-stage prediction of C. elegans can help to assess... 详细信息
来源: 评论
ORB image feature extraction algorithm based on fuzzy control  3
ORB image feature extraction algorithm based on fuzzy contro...
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3rd International Conference on Machine Vision, Automatic Identification, and Detection, MVAID 2024
作者: Li, Ruilong College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China
With the increasing demands for real-time accuracy in visual SLAM (Simultaneous Localization and Mapping), the critical front-end component of SLAM systems has become the extraction and matching of image features to e... 详细信息
来源: 评论
ROBUST JOINT ASSOCIATION AND REGISTRATION UNDER LARGE SENSOR BIAS
ROBUST JOINT ASSOCIATION AND REGISTRATION UNDER LARGE SENSOR...
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IET International Radar Conference 2023, IRC 2023
作者: Ni, Na Jiang, Qi Mao, Huafeng Zhang, Jichuan Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China
Radar observation of group targets has recently received much attention in the flight mechanism research and many other applications. Group targets are usually closely spaced with lots of missed detections and false a... 详细信息
来源: 评论
An Adaptive OS-CFAR detector for Dynamic group targets
An Adaptive OS-CFAR detector for Dynamic group targets
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IET International Radar Conference 2023, IRC 2023
作者: Shi, Mengxin Jiao, Longxiang Jiang, Qi Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China
Effective detection of group targets is of great significance to people's livelihood and national security. Flocks of birds, UAV swarms and other group targets are closely spaced in the radar beam and have high dy... 详细信息
来源: 评论
Performance Analysis of Sub-object Partition Method for Linear Formation Targets
Performance Analysis of Sub-object Partition Method for Line...
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IET International Radar Conference 2023, IRC 2023
作者: Xu, Li'ang Jiang, Qi Zhang, Jichuan Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China
The structure of bird formation is complex and variable. Traditional sub-object partition methods cannot match different types of linear formations, leading to a degradation of performance. Recently, a new sub-object ... 详细信息
来源: 评论
Analysis of Formation UAV Targets' Angular Glint Characteristics Using Phase Gradient Method
Analysis of Formation UAV Targets' Angular Glint Characteris...
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IET International Radar Conference 2023, IRC 2023
作者: Dou, Libin Jiang, Qi Zhang, Wenyuan Wang, Rui Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China
Detection of group targets is of great significance to social and national security. Due to the large individual number, obvious fluctuations, and dense distribution of group targets, angular glint phenomena may occur... 详细信息
来源: 评论
Cross-Modal Ship Grounding: Towards Large Model for Enhanced Few-Shot Learning  27th
Cross-Modal Ship Grounding: Towards Large Model for Enhanced...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Hu, Quan Chen, Li Feng, Zhida Chen, Yaojie School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology Wuhan China
A growing body of research indicates that employing large models for adaptation to downstream tasks often yields remarkable performance. However, in the domain of ship detection, the potential of these large models is... 详细信息
来源: 评论
Lightweight Single Image Super-Resolution Network Integrating CNN and Transformer  27th
Lightweight Single Image Super-Resolution Network Integratin...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Zhu, Kai Chen, Li School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China
Recently, remarkable progress has been achieved in single image super-resolution using methods based on CNN and Transformer architectures. However, existing approaches often construct a substantial number of netw... 详细信息
来源: 评论
Remote Sensing Object Detection Based on Lightweight YOLO-V4  7
Remote Sensing Object Detection Based on Lightweight YOLO-V4
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7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering
作者: Li, Keng Cao, Yunfei Chen, He Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology 5 South Zhongguancun Street Haidian District Beijing China
The remote sensing object detection algorithms based on deep learning have high detection performances, but the network structures are too complexity to meet the real-time processing requirements in on-board remote se... 详细信息
来源: 评论