SAR Image Change Detection Using SURF Algorithm

Seo Li Kang, Woo Kyung Lee

Abstract

With the advent of high-resolution Synthetic Aperture Radar (SAR), applications of satellite SAR have a growing interest in this field and change detection is of high interest in both military and civil applications. Change detection techniques have attracted increased attentions and become a topic of major research. In change detection procedure, geometrical correction of image is essential for effective remote sensing applications. Unlike optical sensor, the geometrical correction of SAR images is highly complicated due to the signal interaction within the complex geometrical properties of the target structures and the inherent speckle noise. In this paper, we present an advanced yet efficient geometrical correction method that may be applied to multi-resolution satellite SAR images. For this purpose, SURF(Speeded-Up Robust Feature) is adopted and modified so as to make it fully applicable to SAR images. KI thresholding technique is constructed and applied to multi-SAR images to verify the performance.

References

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Paper Citation


in Harvard Style

Kang S. and Lee W. (2014). SAR Image Change Detection Using SURF Algorithm . In Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS, ISBN 978-989-758-033-8, pages 68-73. DOI: 10.5220/0005421400680073


in Bibtex Style

@conference{ictrs14,
author={Seo Li Kang and Woo Kyung Lee},
title={SAR Image Change Detection Using SURF Algorithm},
booktitle={Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,},
year={2014},
pages={68-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005421400680073},
isbn={978-989-758-033-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Telecommunications and Remote Sensing - Volume 1: ICTRS,
TI - SAR Image Change Detection Using SURF Algorithm
SN - 978-989-758-033-8
AU - Kang S.
AU - Lee W.
PY - 2014
SP - 68
EP - 73
DO - 10.5220/0005421400680073