Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

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Detection of Ship Wakes in SAR Images Using Grayscale Parallel Coordinate Transform

Authors
Yang Guozheng, Ma Hongbing, Sun Weidong
Corresponding Author
Yang Guozheng
Available Online August 2013.
DOI
10.2991/rsete.2013.220How to use a DOI?
Keywords
SAR image, detection of ship wakes, Parallel Coordinate Transform
Abstract

The detection of ship wakes is one of the most important targets in the area of SAR image applications, but the existing Radon Transform (RT) or Hough Transform (HT) based line detection methods can only be used to examine the collinearity of image points in the parametric space. Considering the characteristics of speckle noise and the spatial distribution of ship wakes along a line with certain width in SAR images, a new method using a nonparametric Grayscale Parallel Coordinate Transform (GPCT) is proposed. In this method, the original grayscale SAR image will be transformed into a parallel coordinate space by a new extended nonparametric GPCT, and the obvious points with high accumulation value will be detected by a modified iterative thresholding method. Then, the detected obvious points will be clustered according to its spatial distribution, and the center of each class will be determined to evaluate the lines of ship wakes. Experimental results using synthetic and real SAR images show that comparing with RT and HT based methods, our proposed method performs better in terms of the accuracy and correctness, better or equivalent in terms of the time efficiency.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.220
ISSN
1951-6851
DOI
10.2991/rsete.2013.220How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Yang Guozheng
AU  - Ma Hongbing
AU  - Sun Weidong
PY  - 2013/08
DA  - 2013/08
TI  - Detection of Ship Wakes in SAR Images Using Grayscale Parallel Coordinate Transform
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 908
EP  - 911
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.220
DO  - 10.2991/rsete.2013.220
ID  - Guozheng2013/08
ER  -