中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共7条,第1-7条 帮助

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Multi-Type Change Detection and Distinction of Cultivated Land Parcels in High-Resolution Remote Sensing Images Based on Segment Anything Model 期刊论文  OAI收割
REMOTE SENSING, 2025, 卷号: 17, 期号: 5, 页码: 787
作者:  
Huang, Zhongxin;  Yang, Xiaomei;  Liu, Yueming;  Wang, Zhihua;  Ma, Yonggang
  |  收藏  |  浏览/下载:7/0  |  提交时间:2025/04/21
Experimental Study to Design an Analog Material for Jinping Marble with High Strength, High Brittleness and High Unit Weight and Ductility 期刊论文  OAI收割
ROCK MECHANICS AND ROCK ENGINEERING, 2019, 卷号: 52, 期号: 7, 页码: 2279-2292
作者:  
Zhu, Guo-Qiang;  Feng, Xia-Ting;  Zhou, Yang-Yi;  Li, Zheng-Wei;  Yang, Cheng-Xiang
  |  收藏  |  浏览/下载:36/0  |  提交时间:2020/04/08
Effects of the Reynolds number on a scale-similarity model of Lagrangian velocity correlations in isotropic turbulent flows 期刊论文  OAI收割
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2018, 卷号: 39, 期号: 11, 页码: 1605-1616
作者:  
Shi ZY(史召宇);  Chen JC(陈进财);  Jin GD(晋国栋)
  |  收藏  |  浏览/下载:52/0  |  提交时间:2018/12/12
Multimode image matching based on maximum similarity model and scale invariant feature transform for islands SCI/SSCI论文  OAI收割
2015
作者:  
Wang R. R.;  Shi, W.;  Su, F. Z.
  |  收藏  |  浏览/下载:21/0  |  提交时间:2017/11/09
Soil property variation mapping through data mining of soil category maps SCI/SSCI论文  OAI收割
2015
作者:  
Du F.;  Zhu, A. X.;  Band, L.;  Liu, J.
收藏  |  浏览/下载:25/0  |  提交时间:2015/12/09
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.  
Effects of detailed soil spatial information on watershed modeling across different model scales SCI/SSCI论文  OAI收割
2005
Quinn T.; Zhu A. X.; Burt J. E.
收藏  |  浏览/下载:157/0  |  提交时间:2012/06/08