Share Email Print
cover

Proceedings Paper

Ship detection in panchromatic images: a new method and its DSP implementation
Author(s): Yuan Yao; Zhiguo Jiang; Haopeng Zhang; Mengfei Wang; Gang Meng
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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).

Paper Details

Date Published: 2 March 2016
PDF: 6 pages
Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99010Q (2 March 2016); doi: 10.1117/12.2234677
Show Author Affiliations
Yuan Yao, BeiHang Univ. (China)
Beijing Key Lab. of Digital Media (China)
Zhiguo Jiang, BeiHang Univ. (China)
Beijing Key Lab. of Digital Media (China)
Haopeng Zhang, BeiHang Univ. (China)
Beijing Key Lab. of Digital Media (China)
Mengfei Wang, BeiHang Univ. (China)
Beijing Key Lab. of Digital Media (China)
Gang Meng, Beijing Institute of Remote Sensing Information (China)


Published in SPIE Proceedings Vol. 9901:
2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015)
Cheng Wang; Rongrong Ji; Chenglu Wen, Editor(s)

© SPIE. Terms of Use
Back to Top