机构

• 地理科学与资源研究所 [2]
• 遥感与数字地球研究所 [2]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 会议论文 [3]
• SCI/SSCI论文 [2]

发表日期

• 2014 [1]
• 2013 [2]
• 2012 [1]
• 2006 [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 Optical and SAR image registration based on improved non-subsampled wavelet transform for sea islands SCI/SSCI论文  OAI收割 2014 Shi W.; Su F. Z.; Wang R. R.; Lu Y. D. 收藏  |  浏览/下载：25/0  |  提交时间：2014/12/24 image registration  islands  South China Sea  wavelet transform  threshold shrink operator  automatic registration   A line mapping based automatic registration algorithm of infrared and visible images 会议论文  OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕) 收藏  |  浏览/下载：36/0  |  提交时间：2013/12/26 There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.   Improved Nonsubsampled Contourlet Transform for Multi-sensor Image Registration SCI/SSCI论文  OAI收割 2013 Wang R. R.; Ma J. W.; Huang H. G.; Shi W. 收藏  |  浏览/下载：18/0  |  提交时间：2014/12/24 automatic registration  mutual information  model   A REMOTE SENSING IMAGERY AUTOMATIC FEATURE REGISTRATION METHOD BASED ON MEAN-SHIFT 会议论文  OAI收割 2012 Ieee International Geoscience and Remote Sensing Symposium, New York Yang, Jian; Huang, Qingqing; Wu, Bin; Chen, Jiansheng 收藏  |  浏览/下载：22/0  |  提交时间：2014/12/07 Automatic Registration  Invariance Feature  Feature Match  SIFT  Mean-Shift   Automatic Registration of Spaceborne SAR Images with the Enhanced FMI-SPOMF Technique 会议论文  OAI收割 2006 Ieee International Geoscience and Remote Sensing Symposium, Vols 1-8, New York Chen Fulong; Wang Chao; Zhang Hong 收藏  |  浏览/下载：25/0  |  提交时间：2014/12/07 spaceborne SAR  enhanced FMI-SPOMF  automatic registration