CONJUGATE IMAGE POINTS BY AN ADAPTIVE ESTIMATOR FOR THE GRAY-LEVEL VARIANCE

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Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/27648

Title:	CONJUGATE IMAGE POINTS BY AN ADAPTIVE ESTIMATOR FOR THE GRAY-LEVEL VARIANCE
Authors:	Wu,J;Chang,C;Wang,CP;Liu,MC
Contributors:	太空及遙測研究中心
Keywords:	SAR;REGISTRATION;RADAR;SYSTEMS;FUSION;MODELS
Date:	2009
Issue Date:	2010-06-29 18:51:23 (UTC+8)
Publisher:	中央大學
Abstract:	A least-squares image matching algorithm was extended to adjust the different possible variances, auto-and cross-covariances found in a gray-level covariance matrix. Scaling variance and covariance components were estimated iteratively, based on some positive-semidefinite accompanying matrices. The theory of a best linear, unbiased estimator for the scale factors has been presented in detail. Conjugate-point accuracy results were obtained from 114 pairs of Radarsat-1 crossroads and pond-corner image windows. A 14% improvement in sub-pixel matching accuracy was achieved by adhering to the proposed BLU-Estimating algorithm, in particular for a category of the 11 x 11 image-window size.
Relation:	JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
Appears in Collections:	[Center for Space and Remote Sensing Research ] journal & Dissertation

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