机构

• 自动化研究所 [3]
• 计算技术研究所 [1]
• 国家空间科学中心 [1]
• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [8]

内容类型

• 期刊论文 [5]
• 会议论文 [3]

发表日期

• 2022 [1]
• 2021 [1]
• 2012 [3]
• 2011 [1]
• 2010 [2]

学科主题

• 微波遥感 [1]
• 电子、电信技术::信... [1]
• 电子、电信技术::计... [1]

筛选

浏览/检索结果: 共8条，第1-8条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Interactive Regression and Classification for Dense Object Detector 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3684-3696 作者:  Zhou, Linmao;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang   |  收藏  |  浏览/下载：15/0  |  提交时间：2022/12/07 Location awareness  Detectors  Feature extraction  Object detection  Standards  Backpropagation  Pipelines  Dense object detector  localization information  interactive   FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 121-132 作者:  Fan, Siqi;  Zhu, Fenghua;  Chen, Shichao;  Zhang, Hui;  Tian, Bin   |  收藏  |  浏览/下载：56/0  |  提交时间：2021/03/29 Feature extraction  Object detection  Detectors  Proposals  Convolution  Semantics  Estimation  Anchor-free detector  foreground region proposal  object detection   On the Appropriate Feature for General SAR Image Registration 会议论文  OAI收割 Conference on SAR Image Analysis, Modeling and Techniques XII, Edinburgh, SCOTLAND, SEP 26-27, 2012 作者:  Li, Dong;  Zhang, Yunhua 收藏  |  浏览/下载：18/0  |  提交时间：2014/12/15 Feature detector  feature descriptor  image registration  speeded up robust feature (SURF)  subpixel accuracy  synthetic aperture radar (SAR)   A Novel Algorithm for View and Illumination Invariant Image Matching 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 卷号: 21, 期号: 1, 页码: 229-240 作者:  Yu, Yinan;  Huang, Kaiqi;  Chen, Wei;  Tan, Tieniu 收藏  |  浏览/下载：19/0  |  提交时间：2015/08/12 Feature detector evaluation  image matching  valid angle (VA)  valid illumination (VI)   Feature-level fusion of multiple target detection results in hyperspectral image based on RX detector 会议论文  OAI收割 Automatic Target Recognition Xxii, Bellingham Sun, Xu; Zhang, Bing; Yang, Lina; Gao, Lianru; Zhang, Wenjuan 收藏  |  浏览/下载：72/0  |  提交时间：2014/12/07 Hyperspectral Image  Target Detection  Feature-Level Fusion  RX Detector   Evaluation of the operating range for ground-based infrared imaging tracking system (EI CONFERENCE) 会议论文  OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者:  Zhang Z.-D. 收藏  |  浏览/下载：48/0  |  提交时间：2013/03/25 Ground-based infrared imaging tracking system (GIITS) is of great importance for aerial target warning and guard. The operating range is one of the key performance specifications  on the other  which should be calculated  calculate the radiation power received on the detector in order to analysis whether the output signal meets the detection requirements or not  analyzed and studied during the whole GIITS design process. The operating range is mostly influenced by a few factors  without considering the effect of the background radiation. By improving of the traditional method  including atmospheric attenuation  a new operating range calculation model of the GIITS was established based on two requirements. One is that the image size of observed target should meet the requirement of the processor signal extraction. The number of the pixel occupied by target image should be more than 9. The other is that the signal noise ratio (SNR) of the GIITS should not be less than 5 to meet the requirements of the target detection probability and spatial frequency. The SNR calculation equation in form of energy is deduced and the radiation characteristic of the observed target and background are analyzed. When evaluate the operating range of the GIITS using the new method  the performance of GIITS and feature of target and background. This paper firstly makes analysis and summarization on the definite localizations of the traditional operating range equation of the GIITS. The localizations are mainly in two aspects. On one hand  we should successively calculate two operating range values according to two requirements mentioned above and choose the minimum value as the analytic result. In the end  the dispersion of the image and the effect of image dispersion are not considered in the traditional method  an evaluation of operating range for fighter aircraft is accomplished as an example. The influence factors in every aspect on operating range were explored by the calculated result. The new operating range calculation model provides the theoretical basis for the design and applications as well as the comprehensive evaluation of a GIITS. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).   Local histogram based geometric invariant image watermarking 期刊论文  OAI收割 signal processing, 2010, 卷号: 90, 期号: 12, 页码: 3256-3264 作者:  Deng, Cheng;  Gao, Xinbo;  Li, Xuelong;  Tao, Dacheng 收藏  |  浏览/下载：172/44  |  提交时间：2011/01/11 Image watermarking  Scale space  Feature detector  Local regions  Histogram modification  Geometric attacks   A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 卷号: 57, 期号: 7, 页码: 1707-1718 作者:  Chen, Jian;  Tian, Jie;  Lee, Noah;  Zheng, Jian;  Smith, R. Theodore 收藏  |  浏览/下载：19/0  |  提交时间：2015/11/08 Harris detector  local feature  multimodal registration  partial intensity invariance  retinal images