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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 Ship Detection in Panchromatic Optical Remote Sensing Images Based on Visual Saliency and Multi-Dimensional Feature Description 期刊论文 Remote Sensing, 2020, 卷号: 12, 期号: 1, 页码: 24 作者:  T. Nie,X. Y. Han,B. He,X. S. Li,H. X. Liu and G. L. Bi 收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06 局部仿射不变特征的提取技术研究 学位论文 博士: 中国科学院大学, 2015 作者:  吴伟平 收藏  |  浏览/下载：38/0  |  提交时间：2015/11/30 局部仿射不变特征  MSER  亮度质心不变矩  SURF  描述子方向   Contour bag of features applied in laser active lighting recognition system 期刊论文 Zhongguo Jiguang/Chinese Journal of Lasers, 2015, 卷号: 42, 期号: 1 作者:  Sun, T.;  C. Wang;  R. Wang and T. Wang 收藏  |  浏览/下载：15/0  |  提交时间：2016/08/24 Parameterized Modeling of Spatially Varying PSF for Lens Aberration and Defocus 期刊论文 Journal of the Optical Society of Korea, 2015, 卷号: 19, 期号: 2, 页码: 136-143 作者:  Wang, C.;  J. Chen;  H. G. Jia;  B. S. Shi;  R. F. Zhu 收藏  |  浏览/下载：20/0  |  提交时间：2016/07/15 Laser active imaging and recognition system based on double hidden layer BP algorithm 期刊论文 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2014, 卷号: 22, 期号: 6, 页码: 1639-1647 Wang C.-J.; Sun T.; Shi N.-N.; Wang R.; Wang T.-F.; Wang W.-B.; Guo J.; Chen J. 收藏  |  浏览/下载：16/0  |  提交时间：2015/04/24 A novel target recognition method based on fast retina key point descriptor for laser active imaging 期刊论文 Zhongguo Jiguang/中文 Journal of Lasers, 2014, 卷号: 41, 期号: 3 Wang C.; Sun T.; Chen J. 收藏  |  浏览/下载：29/0  |  提交时间：2015/04/24 Aircraft type recognition using radial-Tchebichef moment invariants 期刊论文 Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2014, 卷号: 25, 期号: 2, 页码: 364-371 Li P.; Wei Z.-H.; He X.; Li Y.-M. 收藏  |  浏览/下载：13/0  |  提交时间：2015/04/24 An object recognition method based on fuzzy theory and BP networks (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Chuan W.; Ming Z.; Dong Y. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling  shifting  rotation if eigenvectors can not be chosen appropriately. In order to solve this problem  the image is edged  the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively  correctly and quickly.