中国科学院机构知识库网格系统: 检索

On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera 期刊论文 OAI收割
REMOTE SENSING, 2022, 卷号: 14
作者: Xiang, Guangfeng; Meng, Binghuan; Tu, Bihai; Lei, Xuefeng; Sheng, Tingrui

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收藏 | 浏览/下载：42/0 | 提交时间：2022/12/22

geometric calibration directional polarimetric camera geolocation accuracy image registration remote sensing

Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions 期刊论文 OAI收割
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 30-43
作者: Quan Qi; Qing-De Li; Yongqiang Cheng; Qing-Qi Hong

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收藏 | 浏览/下载：21/0 | 提交时间：2021/02/22

Vascular geometric reconstruction implicit modelling parallel computing high-performance high-accuracy.

Experimental study on location accuracy of a 3D VHF lightning-radiation-source locating network 期刊论文 iSwitch采集
SCIENCE CHINA-EARTH SCIENCES, 2015, 卷号: 58, 期号: 11, 页码: 2034-2048
作者: Zhang GuangShu; Li YaJun; Wang YanHui; Zhang Tong; Wu Bin

收藏 | 浏览/下载：47/0 | 提交时间：2019/10/09

3D lightning-radiation-source locating network location accuracy standard deviation geometric model theoretical error

High-Precision Attitude Post-Processing and Initial Verification for the ZY-3 Satellite 期刊论文 OAI收割
REMOTE SENSING, 2015, 卷号: 7, 期号: 1, 页码: 195-210
作者: Tang, Xinming; Xie, Junfeng; Wang, Xiao; Jiang, Wanshou

收藏 | 浏览/下载：74/0 | 提交时间：2016/04/20

attitude accuracy star tracker/gyro post-processing geometric accuracy

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.

Handwritten Chinese Text Recognition by Integrating Multiple Contexts 期刊论文 OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 卷号: 34, 期号: 8, 页码: 1469-1481
作者: Wang, Qiu-Feng; Yin, Fei; Liu, Cheng-Lin

收藏 | 浏览/下载：42/0 | 提交时间：2015/08/12

Handwritten Chinese text recognition confidence transformation geometric models language models refined beam search candidate character augmentation maximum character accuracy training

Effect of the sampling design of ground control points on the geometric correction of remotely sensed imagery SCI/SSCI论文 OAI收割
2012
作者: Ge Y.

收藏 | 浏览/下载：23/0 | 提交时间：2014/12/24

Geometric correction Spatial coverage sampling Universal kriging Variogram Model-based sampling resolution satellite imagery accuracy registration algorithm model

Geometric Calibration and Accuracy Assessment of Multispectral Imager on UAVs 会议论文 OAI收割
Optical Metrology and Inspection for Industrial Applications Ii, Bellingham
Zheng, Fengjie; Yu, Tao; Chen, Xingfeng; Chen, Jiping; Yuan, Guoti

收藏 | 浏览/下载：24/0 | 提交时间：2014/12/07

UAVs geometric calibration multispectral imager accuracy assessment application

Geometric accuracy validation of the CBERS-02B high resolution image 会议论文 OAI收割
2008 Proceedings of Information Technology and Environmental System Sciences: Itess 2008, Vol 1, Beijing
Liang, Hongyou; Wang, Liuzhao; Gu, Xingfa; Yu, Tao

收藏 | 浏览/下载：18/0 | 提交时间：2014/12/07

CBERS-02B HR camera validation geometric accuracy

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：27/0 | 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.