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	Geometric Factor Correction Algorithm Based on Temperature and Humidity Profile Lidar 期刊论文 OAI收割 REMOTE SENSING, 2024, 卷号: 16 作者: Zhang, Bowen; Fan, Guangqiang; Zhang, Tianshu \| 收藏 \| 浏览/下载：7/0 \| 提交时间：2024/11/20 Raman lidar geometric factor correction urban canopy layer atmospheric detection remote sensing
	Selection of Twin Variants in Dynamic Plastic Deformation of Pure Ti at Liquid Nitrogen Temperature 期刊论文 OAI收割 ACTA METALLURGICA SINICA, 2022, 卷号: 58, 期号: 9, 页码: 1141-1149 作者: Gao Dong; Zhou Yu; Yu Ze; Sang Baoguang \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2022/09/16 pure Ti microstructure geometric compatibility factor orientation compatibility factor twin variant
	The Determination of Aerosol Distribution by a No-Blind-Zone Scanning Lidar 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12 作者: Wang, Jie; Liu, Wenqing; Liu, Cheng; Zhang, Tianshu; Liu, Jianguo \| 收藏 \| 浏览/下载：58/0 \| 提交时间：2020/11/26 lidar dual-field-of-view (FOV) geometric overlap factor (GOF) blind zone transition zone aerosol mass concentration stereo-monitoring networks
	A geometric factor calculation method based on the isotropic f lux assumption 期刊论文 OAI收割 Chinese Physics C, 2013, 期号: 12, 页码: 84-89 作者: Zhao XY(赵小芸); Wang HY(王焕玉); Wu F(吴峰); Meng XC(孟祥承); Ma YQ(马宇倩) 收藏 \| 浏览/下载：27/0 \| 提交时间：2015/12/15 LEPD geometric factor isotropy GEANT4 cosine distribution flux normalization
	A geometric factor calculation method based on the isotropic flux assumption 期刊论文 OAI收割 CHINESE PHYSICS C, 2013, 卷号: 37, 期号: 12, 页码: 126201 作者: Zhao XY(赵小芸); Wang HY(王焕玉); Zhao, XY; Wang, HY; Wu, F 收藏 \| 浏览/下载：95/0 \| 提交时间：2016/04/08 LEPD geometric factor isotropy GEANT4 cosine distribution flux normalization
	A local feature based simplification method for animated mesh sequence (EI CONFERENCE) 会议论文 OAI收割 2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010, April 16, 2010 - April 18, 2010, Chengdu, China 作者: Wang B.; Wang B.; Zhao J.; Zhang S. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 Although animated meshes are frequently used in numerous domains only few works have been proposed until now for simplifying such data. In this paper we propose a new method for generating progressive animated models based on local feature analysis and deformation area preservation. We propose the use of solid angle and height value for a non-hyperbolic vertex to define the local feature parameter. This local factor is embedded to the vertex quadric error matrix when calculating the edge collapse cost. In order to preserve the areas with large deformation we add deformation degree weight to the aggregated quadric errors when computing the unified edge contraction sequence. Finally a mesh optimization process is proposed to further reduce the geometric distortion for each frame. Our approach is fast easy to implement and as a result good quality dynamic approximations with well-preserved fine details can be generated at any given frame. 2010 IEEE.
	Active pixel sensor geometrical characteristic effects on star image subdivided locating accuracy for star tracker (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China 作者: Liu J.; Liu J.; Liu J.; Li J.; Li J. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Active pixel sensor (APS) star tracker becomes an investigated hotspot because of its technical advantages. And centroid algorithm is a subpixel method proper to star position calculation because of its high accuracy and simplicity. When centroid algorithm is applied on APS star tracker APS pixel geometrical characteristics might effect on star image position accuracy. Because the amplifier circuit and other function circuits inter pixel of APS take up some pixel area the Fill Factor is less than 100%. Moreover the active sensitive area has a certain geometrical shape such as square rectangle and L shape. The Fill Factor of pixel influences on star image subdivided locating accuracy when using centioid algorithm. In this paper we have analyzed all pixel geometrical characteristics influence on the star position accuracy. From simulation experiments we can conclude that Fill factor and pixel geometric shape influence on star position accuracy. The star locating error increased when Fill Factor decreased and different geometrical shape of active sensitive area of pixel can make different influence on star location accuracy the symmetrical sensitive area in x or y axis have symmetrical location error in the same axis.