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Man-made Object Detection Aimed at Assisting Flight Control of Unmanned Air Vehicles

Author: CaiFei
Tutor: TuDan
School: National University of Defense Science and Technology
Course: Control Science and Engineering
Keywords: Artificial target detection Image interpretation Visual attention mechanism Feature Extraction Clustering
CLC: TP751
Type: Master's thesis
Year: 2010
Downloads: 80
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Abstract


Automatic interpretation of remote sensing images is an emerging field of computer vision research directions and topics at the forefront of concern , lead to the auxiliary UAV flight control , can improve the UAV to obtain accurate data on the efficiency , to grasp the situation in the war , the intelligence acquisition, national defense construction , urban planning is of great significance . Currently , artificial target detection , the main difficulty lies not obtain the significant features of the the artificial target image with natural background differences to achieve effective segmentation, lead to higher undetected artificial target detection or false detection . For auxiliary UAV flight control characteristics, based on human visual attention mechanism and texture perception by extracting image texture features and geometric characteristics of the detection and location of artificial target achieved satisfactory results , this paper is based on human visual texture perception mechanism artificial target detection and location system architecture design method , texture feature selection and geometry feature extraction techniques , and to address the following questions : ( 1 ) the design of the structural framework of a common natural image artificial target detection and location system . The system mainly consists of pre-processing module , the artificial goals early positioning module and artificial target marker module . The system image visual enhancement and artificial target detection Markers of guiding significance for image interpretation . (2) proposed an artificial target detection and location method based on texture feature clustering and geometric structure features . Clustering early positioning texture features , combined with geometric characteristics goal mark , the important geometric characteristics of the human visual texture perception contrast characteristics and edge and corner through theoretical analysis and experimental Select features basis. The combination of the above methods , the artificial goals through the the experiment detection and location of natural images . Select the complex background in aircraft , armored vehicles , tanks , buildings , houses, cars and other typical artificial target , verify the rationality and effectiveness of the proposed method .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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