Automatic method for aircraft target recognition in remotesensing images based on improved active shape model |
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Authors: | GAN Shoufei and SUN Hao |
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Institution: | Information Engineering College, Suzhou University, Suzhou, Anhui 234000, China and Institute ofElectronics, Chinese Academy of Sciences, Beijing 100190, China; Key Laboratory of Technology in Geo-spatialInformation Processing and Application System, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract: | We propose an estimation method for aircraft target direction based on histograms of oriented gradients (HOG), and then use the improved active shape model (ASM) to model the deformation between the different types of targets. Finally, we use kernel density estimation method (KDE) global statistical shape constraint to obtain the target to achieve the target recognition, and design a semi-automatic image feature point detection strategy for aircrafts, which improves the efficiency of training samples for calibration feature points. Recognition experiments on aircraft remote sensing images show the proposed method can better recognize aircraft targets than the existing methods. |
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Keywords: | target recognition ASM aircraft targets KDE complex target |
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