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Control Point Extraction in the Remote Sensing Image via Adaptive Filter

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Abstract:

With the rapid development of the remote sensing satellite, the size and resolution of remote sensing image grow increasingly. The evaluation of image quality requires precise information of ground control points extracted from remote sensing image and reference image. Therefore, we propose an adaptive Wallis enhancement based on radiation-parameters to increase the number of ground control points and to improve the matching precision. First, feature vectors of sub-region are constructed by computing image radiation-parameters, and then the sub-region terrain in the remote sensing image can be recognized using nearest neighbor classifier. Second, according to specific type of sub-region terrain, we enhance images using adaptive Wallis filter with local parameters. Finally, two-level matching method is used to extract and match the control points. The experiments show that compared with existing Wallis filter which are based on global parameters, our method gets better results in the detail enhancement on ZY-3 image so that more and higher accurate ground control points can be effectively extracted to achieve the evaluation of geometric precision automatically and accurately.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1267-1276

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1267

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Online since:

September 2013

Authors:

Lei Lei Geng*, De Shen Xia, Quan Sen Sun, Kai Yuan

Keywords:

Adaptive Wallis Enhancement, Extract Ground Control Points, Radiation-Parameters, Sub-Region

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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