Ship detection in panchromatic images: a new method and its DSP implementation

Yuan Yao; Zhiguo Jiang; Haopeng Zhang; Mengfei Wang; Gang Meng

doi:10.1117/12.2234677

2 March 2016 Ship detection in panchromatic images: a new method and its DSP implementation

Yuan Yao, Zhiguo Jiang, Haopeng Zhang, Mengfei Wang, Gang Meng

Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 99010Q (2016) https://doi.org/10.1117/12.2234677
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China

Abstract

In this paper, a new ship detection method is proposed after analyzing the characteristics of panchromatic remote sensing images and ship targets. Firstly, AdaBoost(Adaptive Boosting) classifiers trained by Haar features are utilized to make coarse detection of ship targets. Then LSD (Line Segment Detector) is adopted to extract the line features in target slices to make fine detection. Experimental results on a dataset of panchromatic remote sensing images with a spatial resolution of 2m show that the proposed algorithm can achieve high detection rate and low false alarm rate. Meanwhile, the algorithm can meet the needs of practical applications on DSP (Digital Signal Processor).

Citation Download Citation

Yuan Yao, Zhiguo Jiang, Haopeng Zhang, Mengfei Wang, and Gang Meng "Ship detection in panchromatic images: a new method and its DSP implementation", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99010Q (2 March 2016); https://doi.org/10.1117/12.2234677

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