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

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题名:	CONJUGATE IMAGE POINTS BY AN ADAPTIVE ESTIMATOR FOR THE GRAY-LEVEL VARIANCE
作者:	Wu,J;Chang,C;Wang,CP;Liu,MC
贡献者:	太空及遙測研究中心
关键词:	SAR;REGISTRATION;RADAR;SYSTEMS;FUSION;MODELS
日期:	2009
上传时间:	2010-06-29 18:51:23 (UTC+8)
出版者:	中央大學
摘要:	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.
關聯:	JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
显示于类别:	[太空及遙測研究中心] 期刊論文

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