DocumentCode :
3585498
Title :
Multiple Rotor UAVs Formation Flight and Its Application on Level Evaluation of Earthquake Damage
Author :
Haoting Liu ; Wei Wang ; Xuefeng Wang ; Wenpeng Yu ; Ming Lv
Author_Institution :
Beijing Inst. of Aerosp. Control Device, China Acad. of Aerosp. Electron. Technol., Beijing, China
Volume :
2
fYear :
2014
Firstpage :
333
Lastpage :
336
Abstract :
A multiple rotor UAVs (Unmanned Aerial Vehicle) based photograph and image analysis system for earthquake damage evaluation is proposed. In contrast to other system, our multiple UAVs can fly with typical rectangle, triangle, or pentagonal formation shape in vertical or horizontal hovering mode, splice images to construct a big scene picture, and make a texture analysis of the ground earthquake images. The image mosaic method of projective transformation, the photograph visual field model of signal UAV, and an integrated texture analysis method are all proposed to analyze and evaluate the damage level of the typical target on ground. The Gray Level Co-occurrence Matrix (GLCM) features, the Tamura texture feature, the Gabor wavelet feature, and the basic line and circle elements, are all considered in our system. An application of earthquake damage evaluation is shown in this paper. Many experiment results have proved the correctness and the validity of our proposed system and method.
Keywords :
autonomous aerial vehicles; earthquakes; emergency management; feature extraction; geophysical image processing; image segmentation; image texture; natural scenes; robot vision; GLCM features; Gabor wavelet feature; Tamura texture feature; big scene picture; earthquake damage level evaluation; gray level cooccurrence matrix features; ground earthquake images; horizontal hovering mode; image analysis system; image mosaic method; integrated texture analysis method; multiple rotor UAV formation flight; photograph analysis system; photograph visual field model; projective transformation; unmanned aerial vehicle; vertical hovering mode; Buildings; Cameras; Earthquakes; IEEE Press; Rotors; Shape; Visualization; damage evaluation; earthquake; multiple UAVs; texture analysis; visual field model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
Type :
conf
DOI :
10.1109/ISCID.2014.95
Filename :
7082000
Link To Document :
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