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Sensors 2017, 17(5), 1047;

A Novel Method of Aircraft Detection Based on High-Resolution Panchromatic Optical Remote Sensing Images

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
University of Chinese Academy of Sciences, Beijing 100049, China
Author to whom correspondence should be addressed.
Academic Editor: Felipe Gonzalez Toro
Received: 27 March 2017 / Revised: 26 April 2017 / Accepted: 3 May 2017 / Published: 6 May 2017
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [9064 KB, uploaded 6 May 2017]   |  


In target detection of optical remote sensing images, two main obstacles for aircraft target detection are how to extract the candidates in complex gray-scale-multi background and how to confirm the targets in case the target shapes are deformed, irregular or asymmetric, such as that caused by natural conditions (low signal-to-noise ratio, illumination condition or swaying photographing) and occlusion by surrounding objects (boarding bridge, equipment). To solve these issues, an improved active contours algorithm, namely region-scalable fitting energy based threshold (TRSF), and a corner-convex hull based segmentation algorithm (CCHS) are proposed in this paper. Firstly, the maximal variance between-cluster algorithm (Otsu’s algorithm) and region-scalable fitting energy (RSF) algorithm are combined to solve the difficulty of targets extraction in complex and gray-scale-multi backgrounds. Secondly, based on inherent shapes and prominent corners, aircrafts are divided into five fragments by utilizing convex hulls and Harris corner points. Furthermore, a series of new structure features, which describe the proportion of targets part in the fragment to the whole fragment and the proportion of fragment to the whole hull, are identified to judge whether the targets are true or not. Experimental results show that TRSF algorithm could improve extraction accuracy in complex background, and that it is faster than some traditional active contours algorithms. The CCHS is effective to suppress the detection difficulties caused by the irregular shape. View Full-Text
Keywords: pattern recognition; active contours; convex hull detection; target detection pattern recognition; active contours; convex hull detection; target detection

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Wang, W.; Nie, T.; Fu, T.; Ren, J.; Jin, L. A Novel Method of Aircraft Detection Based on High-Resolution Panchromatic Optical Remote Sensing Images. Sensors 2017, 17, 1047.

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