2 March 2016 Ship detection in panchromatic images: a new method and its DSP implementation
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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).
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Yuan Yao, Yuan Yao, Zhiguo Jiang, Zhiguo Jiang, Haopeng Zhang, Haopeng Zhang, Mengfei Wang, Mengfei Wang, Gang Meng, 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); doi: 10.1117/12.2234677; https://doi.org/10.1117/12.2234677
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