中国科学院机构知识库网格系统: 检索

Electro-optical imaging system identification using pseudo-random binary pattern (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Le Y.; Jian W.; Jianzhong Z.; Qiang S.; Jianzhuo L.

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A method using pseudo-random binary pattern is developed for electro-optical imaging system identification. The imaging system is taken as a stable linear time-invariant and causal filter and its transfer function is measured through the pseudo-random binary sequence impulse responses identification. A digital mirror device (DMD) light projector is developed as the target generator and wavelet thresholding is used to denoise the captured image. Pre-filtering spectral estimation algorithm with adaptive parameter selection is also proposed for the identification process overcoming the challenge brought by the size limit derived from the optical isoplantic region. Simulations and experiments are presented to show the effectiveness of the proposed method.0-64. 2010 IEEE.

Design and analysis of Roll-Swing imaging seeker scan scheme (EI CONFERENCE) 会议论文 OAI收割
2010 2nd International Conference on Industrial Mechatronics and Automation, ICIMA 2010, May 30, 2010 - May 31, 2010, Wuhan, China
Bai Y.; Liu B.; Jia H.; Guo L.

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To achieve an optimum scan area and target stay time for Roll-Swing imaging seeker the scanning process is analyzed. The method of ground imaging area calculation is proposed in this paper. A kind of Roll-Swing imaging frame mechanism is introduced. The flight process simulation base on real flight data is realized. According to imaging sensor parameters and flight data a new scan scheme method is proposed and a new scan scheme is designed. The new scan scheme is compared to traditional scan scheme from different guide lines. The test results indicate that the new scan scheme satisfy requirement of the real flight experiment. 2010 IEEE.

Memoryless polynomial RLS adaptive filter for trajectory target tracking (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer Modeling and Simulation, ICCMS 2010, January 22, 2010 - January 24, 2010, Sanya, China
作者: Liu J.; Liu J.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

In order to find an effective solution to trajectory target tracking a memoryless polynomial adaptive filter is proposed in this paper. Unlike Volterra adaptive filter the proposed memoryless polynomial filter is composed of different monomials which can fit orbit trajectory very well. Besides the memoryless polynomial filter can be separated into a linearization filter and a transversal filter. Analogous to linear RLS adaptive filter a RLS adaptive filter is derived from the memoryless polynomial filter called Memoryless polynomial RLS adaptive filter (MLPRLS adaptive filter). Experiments show that the proposed filters have better performance than that of normal RLS filters in trajectory tracking. 2010 IEEE.

3R intersection target positioning in real time based on distance (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Nengwei W.; Juan C.; Jian C.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

The positioning error based on angle angle-distance or single station positioning increases with the distance increasing. 3R target positioning based on distance can obtain the high precision measurements in long distance. Here we give the 3R model for the intersection positioning provide the two necessary conditions for getting the optimum intersection point. The experimental results show that the intersection precision based on angle is over 2m and will degrade greatly with the increasing of distance while the one based on 3R model will improve and the error decrease gradually. That the precision of the distance measurement is about 1m means the 3R model is better than the angle positioning which can compensate the drawbacks of the angle positioning at short distance. 2010 IEEE.

The movement estimation of target and background by fourier phase spectrum difference (EI CONFERENCE) 会议论文 OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者: Zhang X.; Zhang X.; Zhang X.; Wang J.; Zhang S.

收藏 | 浏览/下载：29/0 | 提交时间：2013/03/25

An algorithm for estimating displacement of the moving target and background by shift theory of Fourier transform is presented. According to the relation between the change and the Fourier transform of image sequence the method employs the displacement value of the moving target and background by the difference of Fourier phase spectrum. The algorithm estimates the movements from the whole field of the image with excellent global property. This paper provides the calculus and experiments of the algorithm which show the accuracy of 1 pixel. 2010 IEEE.

Correction of the non-uniformity for multi-TDICCD mosaic camera on FPGA (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Zhu H.; Xue X.; Ma T.; Li H.; Si G.; Guo Y.

收藏 | 浏览/下载：60/0 | 提交时间：2013/03/25

To solve the non-uniformity problem of multi Time Delay Integral Charge Couple Device (TDICCD) mosaic camera several common non-uniformity correction methods are discussed. Secondly a non-uniformity correction algorithm is proposed and implemented on Field-Programmable Gate Array (FPGA) platform. Firstly the correction algorithm is designed. Finally the generation and definition of non-uniformity are introduced considering the fix-point processing ability of FPGA the correction algorithm is optimized properly and implemented on FPGA. The experimental results indicate that the non-uniformity can be decreased from 8.3%to 2.0% in 1s for 3-TDICCD mosaic camera's images with the proposed correction algorithm at 96TDI stage proving that this correction algorithm is of high real-time performance good practicality and satisfies the requirements of the target system. 2010 IEEE.

Adaptive deformation estimation of moving target by weight image analysis (EI CONFERENCE) 会议论文 OAI收割
2010 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 21, 2010 - May 24, 2010, Wuhan, China
Bai X.-G.; Dai M.

收藏 | 浏览/下载：39/0 | 提交时间：2013/03/25

An algorithm based on weight image analysis is proposed for adaptive deformation estimation of moving target in mean-shift tracking method. At the first we get the weight image from the target candidate region. Then we analyze the differences between the object and background. According to that the area estimation of the target can be converted into the image segmentation task. To realize the adaptive segmentation and estimation we define the threshold as the maximum variance between object and background. Combining the estimated area and covariance matrix we can estimate the width height and orientation of the object. The experimental results on three representative video sequences validate its robustness to the deformable estimation of the targets. 2010 IEEE.

Extracting sea-sky-line based on improved local complexity (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者: Zhang Y.-F.

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Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds which is robust and can improve noise immunity of the algorithm. 2010 IEEE.

Station mode for attitude determination of small-multi-target with high speed (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
作者: Wang J.; Zhao L.; Li M.

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A key problem of attitude measurement of small-multi-target with high speed is how to decide the optimum of the CMOS stations. A multi-CMOS station mode is designed in this paper multiple CMOS videos were placed on two parallel sides in measurement system every two CMOS form an intersection viewing field multiple viewing field join to cover shooting range which can augment Effective Viewing Field(EVF) increase capture ratio of objects with high speed and measurement precision of small objects. When an object passes through the joint area it will be imaged separately on each CMOS focal plane. Multiple CMOS videos were triggered synchronously a sequence of image information was extracted the target attitude was confirmed by digital image processing technology. The merit of station mode is low cost large measurement scope extending freely and so on. 2010 IEEE.

Design of real-time small target detection system for infrared image based on FPGA (EI CONFERENCE) 会议论文 OAI收割
2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010, May 10, 2010 - May 11, 2010, Wuhan, China
作者: Liu J.; Sun Q.; Wang J.; Ye X.; Xu H.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

A simple detection measurement is developed for realtime small target detection in infrared background which can be easily available on FPGA. Basing on the difference between target and background a predictive background is generated via restraining the infrared background with median filter and then global threshold segmentation is used to residual image for further processing. Taking advantage of the relationship of targets in frames a comprehensive analysis of residual image is made and then the precise position of target is got by removing pseudo-objectives. Experiment results show that the method is simple to apply to hardware system improve the system's false alarm rate and meet the requirements of practical engineering. 2010 IEEE.