NDLI: An automated matching of real and simulated SAR image

Content Provider	IEEE Xplore Digital Library
Author	Sanhai Ren Wenge Chang
Copyright Year	2011
Description	Author affiliation: School of Electronic Science and Engineering, NUDT, Changsha, 410073, China (Sanhai Ren; Wenge Chang)
Abstract	Tie-points identification is much difficult for mountainous areas because of the huge different appearance of the SAR image and the map as well as the speckle noise present in the SAR image. However, tie-points under mountainous areas are very useful in many applications. Based on this requirement, this paper proposes an automated matching of a real and a simulated SAR image for control points (CP) selection. The method involves an image segmentation-based and clustering-based selection of the most distinctive CPs in simulated SAR image. The search for the corresponding CPs in the real SAR image is based on local similarity by means of template matching. To improve the precision, a method for segmentation threshold calculation and outlier screening is presented. Finally, the real SAR image is registered to the simulated one by using the polynomial mapping function. Experiment results on real data sets demonstrate the accuracy and efficiency of the proposed algorithm.
Starting Page	301
Ending Page	304
File Size	572371
Page Count	4
File Format	PDF
ISBN	9781457711565
e-ISBN	9782874870255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-12
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	EUROPEAN MICROWAVE ASSOC
Subject Keyword	Deformable models Image segmentation Accuracy Image matching Image edge detection Polynomials Spline
Content Type	Text
Resource Type	Article

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