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浏览/检索结果: 共21条，第1-10条 帮助

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An Adaptive Stacking-OF Method for Extracting Glacier Velocity Field Using Optical Remote Sensing Datasets 期刊论文  OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Fu, Yin;  Zhang, Bo;  Liu, Qiao;  Shi, Yue;  Wang, Jiao
  |  收藏  |  浏览/下载：6/0  |  提交时间：2024/12/04
Motion Blur Detection With an Indicator Function for Surveillance Machines 期刊论文  OAI收割
ieee transactions on industrial electronics, 2016, 卷号: 63, 期号: 9, 页码: 5592-5601
作者:  Pang, Yanwei;  Zhu, Hailong;  Li, Xuelong;  Pan, Jing
收藏  |  浏览/下载：35/0  |  提交时间：2016/10/13
Detection of hyperspectral small targets based on projection pursuit optimized by bee colony 期刊论文  OAI收割
yi qi yi biao xue bao/chinese journal of scientific instrument, 2016, 卷号: 37, 期号: 6, 页码: 1347-1355
作者:  Wu, Yiquan;  Zhou, Yang;  Long, Yunlin
收藏  |  浏览/下载：30/0  |  提交时间：2016/10/12
Blind deblurring from single motion image based on adaptive weighted total variation algorithm 期刊论文  OAI收割
IET SIGNAL PROCESSING, 2016, 卷号: 10, 期号: 6, 页码: 611-618
Wen, J; Zhao, JS; Cailing, W; Yan, SX; Wang, W
  |  收藏  |  浏览/下载：27/0  |  提交时间：2016/12/09
Stochastic Uncertainty Models for the Luminance Consistency Assumption 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2012, 卷号: 21, 期号: 2, 页码: 481-493
作者:  Corpetti, Thomas;  Memin, Etienne
收藏  |  浏览/下载：21/0  |  提交时间：2015/09/18
A Traffic Flow Detection System Combining Optical Flow and Shadow Removal 会议论文  OAI收割
Beijing, China, 1-2 December 2011
作者:  Zhaoxiang Zhang;  Yuqing Hou;  Yunhong Wang;  Jie Qin
  |  收藏  |  浏览/下载：26/0  |  提交时间：2017/02/09
Design of motion adjusting system for space camera based on ultrasonic motor (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
作者:  Sun Z.
收藏  |  浏览/下载：84/0  |  提交时间：2013/03/25
Drift angle is a transverse intersection angle of vector of image motion of the space camera. Adjusting the angle could reduce the influence on image quality. Ultrasonic motor (USM) is a new type of actuator using ultrasonic wave stimulated by piezoelectric ceramics. They have many advantages in comparison with conventional electromagnetic motors. In this paper  some improvement was designed for control system of drift adjusting mechanism. Based on ultrasonic motor T-60 was designed the drift adjusting system  which is composed of the drift adjusting mechanical frame  the ultrasonic motor  the driver of Ultrasonic Motor  the photoelectric encoder and the drift adjusting controller. The TMS320F28335 DSP was adopted as the calculation and control processor  photoelectric encoder was used as sensor of position closed loop system and the voltage driving circuit designed as generator of ultrasonic wave. It was built the mathematic model of drive circuit of the ultrasonic motor T-60 using matlab modules. In order to verify the validity of the drift adjusting system  was introduced the source of the disturbance  and made simulation analysis. It designed the control systems of motor drive for drift adjusting system with the improved PID control. The drift angle adjusting system has such advantages as the small space  simple configuration  high position control precision  fine repeatability  self locking property and low powers. It showed that the system could accomplish the mission of drift angle adjusting excellent. 2011 SPIE.  
Design of motion compensation mechanism of satellite remote sensing camera (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Gu S.; Yan Y.; Xu K.; Jin G.
收藏  |  浏览/下载：47/0  |  提交时间：2013/03/25
With the development of aerospace remote sensing technology  the ground resolution of remote sensing camera enhances continuously. Since there is relative motion between camera and ground target when taking pictures  the target image recorded in recording media is moved and blurred. In order to enhance the imaging quality and resolution of the camera  the image motion had to be compensated. In order to abate the effect of image motion to image quality of space camera and improve the resolution of the camera  the compensation method of image motion to space camera is researched. First  the reason of producing drift angle and adjustment principle are analyzed in this paper. This paper introduce the composition and transmission principle of image motion compensation mechanism. Second  the system adopts 80C31 as controller of drift angle  and adopts stepping motor for actuators  and adopts absolute photoelectric encoder as the drift Angle measuring element. Then the control mathematical model of the image motion compensation mechanism are deduced  and it achieve the closed-loop control of the drift angle position. At the last  this paper analyses the transmission precision of the mechanism. Through the experiment  we measured the actual precision of the image motion compensation mechanism  and compared with the theoretical analysis. There are two major contributions in this paper. First  the traditional image motion compensation mechanism is big volume and quality heavy. This has not fit for the development trend of space camera miniaturization and lightweight. But if reduce the volume and quality of mechanism  it will bring adverse effects for the precision and stiffness of mechanism. For this problem  This paper designed a image motion compensation that have some advantages such as small size  light weight at the same time  high precision  stiffness and so on. This image motion compensation can be applicable to the small optics cameras with high resolution. Second  the traditional mechanism control need to corrected  fitting and iterative for the control formula of mechanism. Only in this way  we can get the optimal control mathematical model. This paper has high precision of the control formula derived. It can achieve the high precision control without fitting  It also simplify the difficulty of control mathematical model establishment. This paper designed the range of adjusting of image motion compensation mechanism between -5 +5. Based on choosing-5  -4  -3  -2  -1  0  +1  +2  +3  +4  +4 as the expectation value of the imaginary drift angle  we get ten groups of the fact data in adjusting drift angle measured. The test results show that the precision of the drift angle control system can be achieved in 1. It can meet the system requirements that the precision of the control system is less than 3'  and it can achieve the high-precision image motion compensation. 2011 SPIE.  
Geocentric distance's errors' correction of space cameras based on USGS DEM (EI CONFERENCE) 会议论文  OAI收割
2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011, May 27, 2011 - May 29, 2011, Xi'an, China
作者:  Li W.;  Li W.;  Xu S.
收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25
In order to correct the geocentric distance's error of TDI (Time Delay and Integration) CCD space camera in calculation of image motion compensation  the data source of the earth's height above sea level USGS DEM (United States Geological Survey Digital Elevation Model) has been introduced to make digital elevation map  the match error of the forward direction (the integral direction of TDI CCD) has been greatly decreased by correcting the geocentric distance error  and eliminate the influence to the relative error of image motion velocity  and correct the error generated by the different heights above sea level. After correcting  which greatly improves the imaging quality of TDI CCD space camera. 2011 IEEE.  a model of image motion calculation of nadir has been introduced  the calculation and analysis of the model shows that: the maximum error of image motion velocity about 1.72% has been decreased to 0.06%  and the influence of the geocentric distance error to the relative error of image motion velocity has been analyzed with the model  
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:  Sun H.;  Han H.-X.;  Sun H.
收藏  |  浏览/下载：59/0  |  提交时间：2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring  precision  and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection  the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure  but in order to capture the change of the state space  it need a certain amount of particles to ensure samples is enough  and this number will increase in accompany with dimension and increase exponentially  this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"  we expand the classic Mean Shift tracking framework.Based on the previous perspective  we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis  Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism  used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation  and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information  this approach also inhibit interference from the background  ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).