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• OAI收割 [33]

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筛选

浏览/检索结果: 共33条，第1-10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 Distributed Feedback Interband Cascade Laser Based Laser Heterodyne Radiometer for Column Density of HDO and CH4 Measurements at Dunhuang, Northwest of China 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14 作者:  Lu, Xingji;  Huang, Yinbo;  Wu, Pengfei;  Liu, Dandan;  Ma, Hongliang   |  收藏  |  浏览/下载：63/0  |  提交时间：2022/05/05 laser heterodyne radiometer  instrument line-shape  retrieval algorithm  HDO  CH4   Research on the Calculation Method for the Parameters of Underground Dual-Mass Disturbance Zones 期刊论文  OAI收割 天文学报/Acta Astronomica Sinica, 2022 作者:  Dong DH(董冬辉);  Cheng XM(程向明);  Zhang ZJ(张桢君);  Wang JC(王建成);  Mao Y(冒蔚)   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/05/30 astrometry  methods: numerical: DE (Differential Evolutionary) algorithm  PLV (Plumb Line Variation)  underground mass disturbance   Rail Detection Based on LSD and the Least Square Curve Fitting 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 85-95 作者:  Yun-Shui Zheng;  Yan-Wei Jin   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/02/23 Rail inspection  line segment detector (LSD) algorithm  the least square  curve fitting  foreign object detection   Twin image reduction method for digital in-line holography by using a digital periphery 期刊论文  OAI收割 Optik, 2019, 卷号: 193 作者:  Li, Fanxing;  Yan, Wei;  Tian, Peng;  Yang, Fan;  Peng, Fuping   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/05/06 Digital in-line holography  Digital periphery  Diffuser  Phase retrieval algorithm   Geometrically stable tracking for depth images based 3D reconstruction on mobile devices 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 143, 期号: x, 页码: 222-232 作者:  Liu, Yangdong;  Gao, Wei;  Hu, Zhanyi   |  收藏  |  浏览/下载：66/0  |  提交时间：2018/10/10 Visual-slam  Dense Mapping  Icp Algorithm  Sampling Algorithm  On-line  Mobile Device   Lensless In-line Holographic Microscope Resolution Enhancement Method From Two Intensity Measurements Based On Data Interpolation 会议论文  OAI收割 Chengdu, PEOPLES R CHINAChengdu, PEOPLES R CHINA, JUN 26-29, 2018JUN 26-29, 2018 作者:  Li, Fanxing;  Tian, Peng;  Yan, Wei;  Yang, Fan;  Peng, Fuping   |  收藏  |  浏览/下载：36/0  |  提交时间：2019/08/23 Digital in-line holography  data interpolation  phase retrieval algorithm  positive absorption property   Measurement algorithm of mounting holes based on binocular stereo vision 会议论文  OAI收割 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016, Chengdu, China, June 19-22, 2016 作者:  Hu YQ(胡彦强);  Ma Y(马钺);  Xu M(许敏);  Chen X(陈曦) 收藏  |  浏览/下载：29/0  |  提交时间：2016/11/06 epipolar-line constraint algorithm  feature points matching  Line laser  mounting holes   An Improved Kalman Filtering Method for Indoor Location 会议论文  OAI收割 2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016), Chengdu, China, October 14-17, 2016 作者:  Guo TT(郭廷廷);  Liu MZ(刘明哲);  Qiao F(乔枫);  Xu AD(徐皑冬);  Liu QN(刘秦宁) 收藏  |  浏览/下载：45/0  |  提交时间：2016/12/21 indoor location  non-line of sight (NLOS)  location algorithm  Kalman filtering  location 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：37/0  |  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.