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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2017, Vol. 38 ›› Issue (8): 321171-321171.doi: 10.7527/S1000-6893.2017.321171

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Fast and accurate target positioning with large viewpoint based on inertial navigation system information

ZENG Qinghua1,2, PAN Pengju1,2, LIU Jianye1,2, WANG Yunshu1,2, LIU Sheng3   

  1. 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
    2. Satellite Communication and Navigation Collaborative Innovation Center, Nanjing 211106, China;
    3. AVIC Luoyang Electro-optical Equipment Research Institute, Luoyang 471009, China
  • Received:2017-02-10 Revised:2017-03-12 Online:2017-08-15 Published:2017-04-26
  • Supported by:

    National Natural Science Foundation of China (61533008,61104188,61374115,61603181);Funding of Jiangsu Innovation Program for Graduate Education (KYLX15_0277);the Fundamental Research Funds for Central Universities (NS2015037)

Abstract:

Target location technology is widely used in aircraft and missiles for getting the position information of air-attack targets. The attack effect is directly affected by the efficiency of the target localization method. Considering the problem of low precision and slow speed of the Affine Scale-Invariant Feature Transform (ASIFT) algorithm, a new positioning method based on inertial navigation system information is proposed. The scale space of the target real-time sequence images is constructed, and is matched with the combination of Features from Accelerated Segment Test (FAST) and Fast REtinA Keypoint (FREAK) description. Fast extraction of the target is then achieved. The homography matrix between the real-time and the reference images is solved by using the information of the airborne inertial navigation system. The real-time images are then transformed by the homography matrix to reduce the difference between the real-time and the reference images, so as to overcome the problem of blind multiple matching calculation of the ASIFT algorithm. Through the combination of FAST feature detection and FREAK feature description, the matching speed of large viewpoint images is enhanced. The target is accurately located in the reference image by the homography matrix. The experimental results indicate that the calculation speed is increased by one order of magnitude compared with that of the ASIFT algorithm, and the positioning accuracy is increased by one order of magnitude compared with that of the existing target average positioning algorithm. The method proposed in the paper will be helpful in improving the efficiency of the figure-matching in the aerial application.

Key words: target location, inertial navigation, large viewpoint image matching, target extraction, positioning accuracy

CLC Number: