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Research of Key Technology in Passive Ranging Based on Image Information

Author: ZhaoZuo
Tutor: FuXiaoNing
School: Xi'an University of Electronic Science and Technology
Course: Detection Technology and Automation
Keywords: Passive Ranging Target feature Feature point extraction Image matching LACC
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 123
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Abstract


Estimates of the distance of the target to the camera is a technical problem in imaging detection has important military value and commercial value . In this paper, based on the target image information in the feature line degree target distance estimation method , this method to get the target image matching distance relative to the amount of change or distance than observables , and then integrated target azimuth and pitch angle by solving measurement distance equations to obtain the absolute distance of the target . The analysis showed that the target distance is the amount of relative change is to produce the main factors of the distance estimation error , how to obtain the amount of change to achieve this program key technologies . Papers through the adjacent frames in the sequence of image target image analysis compared the combination of location algorithms based on real-time requirements , determine the Harris operator to detect target corner features , and then get the goal the feature line degree and target distance relative change the amount of technical way. Based on Harris operator sub the characteristics of the target angle point detection algorithm using the Visual C 6.0 Programming the meantime, for the specific target image , to carry out a corner feature and Harris threshold value relationship of experimental study , obtained the data useful follow-up experiments ; through simulation experiments revealed the relationship between the characteristics of the target line degrees and feature point extraction , the study carried out to provide a theoretical basis ; Finally, through the corner area increase constraints correlation coefficient (LACC) algorithm to achieve the target feature point matching then get feature line and target distance relative to the amount of change . Preliminary simulations show that the ranging algorithm relative measurement error does not exceed ± 10% can be obtained . The proposed method is applicable to monocular vision sequence moving target imaging system based imaging probe target passive ranging study has some reference significance .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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