机构

• 地理科学与资源研究所 [1]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2022 [1]
• 2011 [1]
• 2005 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4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 Limited-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 4 作者:  Xiao, Xingyuan;  Jiang, Linlong;  Liu, Yaqun;  Ren, Guozhen   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/04/06 Sentinel-1 SAR time series  sampling strategy  time-weighted dynamic time warping  simple non-iterative clustering  Google Earth Engine  object-based crop classification   A Coarse-to-Fine Registration Approach for Point Cloud Data with Bipartite Graph Structure 期刊论文  OAI收割 ELECTRONICS, 2022, 卷号: 11 作者:  Yuan, Munan;  Li, Xiru;  Cheng, Longle;  Li, Xiaofeng;  Tan, Haibo   |  收藏  |  浏览/下载：40/0  |  提交时间：2022/03/21 point cloud  coarse-to-fine registration  top-tail (TT) strategy  bipartite graph matching  3D scale-invariant feature transform (3D SIFT)  fast point feature histograms (FPFH)  trimmed iterative closest point (TrICP)   A parallel algorithm for medical images registration based on B-splines (EI CONFERENCE) 会议论文  OAI收割 4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China 作者:  Zhang T. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 Cubic B-splines is widely applied in non-rigid registration because of its approximation performance and fast computational characteristics. However  a small scale non-rigid deformation is needed to characterize by a large number of control points. Moreover  an iterative optimization strategy of the non-rigid registration algorithm and the normalized mutual information (NMI) cost a great quantity calculation. So  the process of the non-rigid registration is slowed by calculations of NMI in a iterative optimization strategy. In this paper  a parallel optimization algorithm based on cubic B-splines functions is proposed to parallelize the optimization algorithm of the nonrigid registration and the calculations of normalize mutual information. In practice  a fast algorithm of cubic B-splines is used and the control points are only distributed on the targets. Experiments show that the use of the fast algorithm and the parallel optimization strategy improves the non-rigid registration process of medical images. 2011 IEEE.   MSAID: multiple sequence alignment based on a measure of information discrepancy 期刊论文  OAI收割 COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2005, 卷号: 29, 期号: 2, 页码: 175-181 作者:  Zhang, M;  Fang, WW;  Zhang, JH;  Chi, ZX   |  收藏  |  浏览/下载：17/0  |  提交时间：2018/07/30 multiple sequence alignment  progressive alignment  iterative strategy  FDOD measure