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Sensors 2015, 15(9), 23071-23094; doi:10.3390/s150923071

Aircraft Detection in High-Resolution SAR Images Based on a Gradient Textural Saliency Map

1
School of Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan District, Wuhan 430074, China
2
School of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road 129, Wuchang District, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 9 April 2015 / Revised: 2 September 2015 / Accepted: 9 September 2015 / Published: 11 September 2015
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [2469 KB, uploaded 11 September 2015]   |  

Abstract

This paper proposes a new automatic and adaptive aircraft target detection algorithm in high-resolution synthetic aperture radar (SAR) images of airport. The proposed method is based on gradient textural saliency map under the contextual cues of apron area. Firstly, the candidate regions with the possible existence of airport are detected from the apron area. Secondly, directional local gradient distribution detector is used to obtain a gradient textural saliency map in the favor of the candidate regions. In addition, the final targets will be detected by segmenting the saliency map using CFAR-type algorithm. The real high-resolution airborne SAR image data is used to verify the proposed algorithm. The results demonstrate that this algorithm can detect aircraft targets quickly and accurately, and decrease the false alarm rate. View Full-Text
Keywords: synthetic aperture radar (SAR); aircraft detection; directional local gradient distribution; gradient textural saliency map synthetic aperture radar (SAR); aircraft detection; directional local gradient distribution; gradient textural saliency map
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tan, Y.; Li, Q.; Li, Y.; Tian, J. Aircraft Detection in High-Resolution SAR Images Based on a Gradient Textural Saliency Map. Sensors 2015, 15, 23071-23094.

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