NDLI: The Practice of an Automatic Registration System Based on Contour Features and Wavelet Transform for Remote Sensing Images

Content Provider	IEEE Xplore Digital Library
Author	Meddeber, L. Berrached, N.E. Taleb-Ahmed, A.
Copyright Year	2009
Abstract	Image registration is an inevitable problem arising in many image-processing applications whenever two or more images of the same scene have to be compared pixel by pixel. The increased volume of satellite images has reinforced the need for automatic image registration methods. In this paper, two new feature-based approaches to automated image-to-image registration are presented. The characteristic of the first approach is that it combines an invariant moment shape descriptor with improved chain-code matching to establish correspondences between the potentially matched regions detected from the two images. This method works well for image pairs in which the contour information is well preserved. For the registration of the optical images with synthetic aperture radar (SAR) images, we propose another method based on the wavelet transform, this second method uses spectral information of the images and their local wavelet transform modulus maxima to extract a set of control points. The experimental result demonstrates the robustness, efficiency and accuracy of the two algorithms.
Starting Page	58
Ending Page	63
File Size	1941716
Page Count	6
File Format	PDF
ISBN	9781424453658
DOI	10.1109/ICCEE.2009.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-28
Publisher Place	UAE
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Image registration Shape Mapping function wavelet transform Remote sensing Satellites Laser radar Feature detection Layout Radar detection Feature matching Adaptive optics Resampling Pixel
Content Type	Text
Resource Type	Article

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