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	Line-of-sight locating algorithm for staring imaging aerial remote sensor (EI CONFERENCE) 会议论文 OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China 作者: Li Y.; Li Y.; Li Y.; Li Y.; Li J. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 A line-of-sight (LOS) Locating algorithm for staring imaging is presented in this paper. Staring imaging is an imaging mode for aerial remote sensor which photographs the designated earth-fixed target in muItidirections. Therefore the details of interesting targets is available. For the target obscured or disguised its advantage becomes more apparent. This paper proposes the method using two-axis rotation to achieve staring imaging and establishes the system model and the associated coordinates. Adopting the method of coordinate transformation the LOS Locating algorithm is constructed which determines the LOS direction. For the validation of algorithm Target Geolocation Algorithm is established using Simulink library blocks. Eventually it proves the feasibility of the LOS Locating algorithm. This article provides a thought of LOS Locating algorithm for staring imaging. The method of coordinate transformation used in this paper can be applied to line-of-sight positioning in other imaging modes. 2010 IEEE.
	Late Quaternary normal faulting and its kinematic mechanism of eastern piedmont fault of the Haba-Yulong Snow Mountains in northwestern Yunnan, China 期刊论文 OAI收割 SCIENCE IN CHINA SERIES D-EARTH SCIENCES, 2009, 卷号: 52, 期号: 10, 页码: 1470-1484 作者: Wu ZhongHai; Zhang YongShuang; Hu DaoGong; Zhao XiTao; Ye PeiSheng \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/09/26 northwestern Yunnan the Haba-Yulong Snow Mountains Quaternary normal faulting blocks rotation
	Late Quaternary normal faulting and its kinematic mechanism of eastern piedmont fault of the Haba-Yulong Snow Mountains in northwestern Yunnan, China 期刊论文 OAI收割 SCIENCE IN CHINA SERIES D-EARTH SCIENCES, 2009, 卷号: 52, 期号: 10, 页码: 1470-1484 作者: Wu ZhongHai; Zhang YongShuang; Hu DaoGong; Zhao XiTao; Ye PeiSheng \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2018/09/26 northwestern Yunnan the Haba-Yulong Snow Mountains Quaternary normal faulting blocks rotation
	An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文 OAI收割 2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China 作者: Li S. 收藏 \| 浏览/下载：42/0 \| 提交时间：2013/03/25 In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block sums the gray value of each R-block pixel encodes the R-block according to the gray value distribution of R-block with the adjacent R-block and matches by step between the template and each search sub-image. Then fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise and it also has the stability of small-angle rotation. 2009 IEEE.