机构

• 自动化研究所 [2]
• 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]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [2]
• 期刊论文 [2]
• 学位论文 [1]

发表日期

• 2019 [1]
• 2018 [1]
• 2015 [2]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Ship Target Detection Algorithm Based on Improved Faster R-CNN 期刊论文  OAI收割 ELECTRONICS, 2019, 卷号: 8, 期号: 9, 页码: 19 作者:  Qi, Liang;  Li, Bangyu;  Chen, Liankai;  Wang, Wei;  Dong, Liang   |  收藏  |  浏览/下载：82/0  |  提交时间：2019/12/16 ship target detection  Faster R-CNN  scene semantic narrowing  topic narrowing subnetwork   Demonstration of ocean target detection by Tiangong-2 interferometric imaging radar altimeter 会议论文  OAI收割 Poznan, Poland, May 14, 2018 - May 17, 2018 作者:  Zhang, Yunhua;  Dong, Xiao;  Shi, Xiaojin;  Zhai, Wenshuai;  Yang, Qingshan   |  收藏  |  浏览/下载：56/0  |  提交时间：2018/09/06 Interferometric Imaging Radar Altimeter  Tiangong-2  Wide-swath  Ship Wake  Target Detection   海天背景红外图像舰船目标检测方法研究 学位论文  OAI收割 工学硕士, 中国科学院自动化研究所: 中国科学院大学, 2015 吴芳 收藏  |  浏览/下载：217/0  |  提交时间：2015/09/02 舰船目标检测  海天线检测  显著性分析  红外图像  ship target detection  sea-sky line detection  saliency analysis  infrared images   Ship detection method for single-polarization synthetic aperture radar imagery based on target enhancement and nonparametric clutter estimation 期刊论文  OAI收割 JOURNAL OF APPLIED REMOTE SENSING, 2015, 卷号: 9, 页码: 859-874 作者:  Tian, Sirui;  Wang, Chao;  Zhang, Hong 收藏  |  浏览/下载：33/0  |  提交时间：2016/04/20 ship detection  synthetic aperture radar imagery  target enhancement filter  kernel density estimation  constant false alarm rate   Adaptive segmentation algorithm for ship target under complex background (EI CONFERENCE) 会议论文  OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China Wang A.-B.; Wang C.-X.; Su W.-X.; Dong Y.-F. 收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 Segmentation of ship target under complex background has important research significance in long-range ship tracking and identification  and an adaptive segmentation algorithm is proposed according to background images with different complexity. Local complexity of image is first calculated in this algorithm  and then the original image is preprocessed with different de noising methods according to local complexity  finally the image is binarized based on local complexity and the target is segmented. The experiment results indicate that the algorithm is adaptive and can meet the requirements of real-time processing  which lays a foundation for ship target detection under complex background. 2010 IEEE.