Progressive Transform-Based Phase Unwrapping Utilizing a Recursive Structure (Sensing)
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概要
- 論文の詳細を見る
We propose a progressive transform-based phase unwrapping (PU) technique that employs a recursive structure. Each stage, which is identical with others in the construction, performs PU by FFT method that yields a solution and a residual phase error as well. The residual phase error is then reprocessed by the following stages. This scheme effectively improves the gradient estimate of the noisy wrapped phase image, which is unrecoverable by conventional global PU methods. Additionally, by incorporating computational strength of the transform PU method in a recursive system, we can realize a progressive PU system for prospective near realtime topographic-mapping radar and near real-time medical imaging system (such as MRI thermometry and MRI flow imager). PU performance of the proposed system and the conventional PU methods are evaluated by comparing their residual error quantitatively with a fringe-density-related error metric called FZX (fringe's zero-crossing) number. Experimental results for simulated and real InSAR phase images show significant, progressive improvement over conventional ones of a single-stage system, which demonstrates the high applicability of the proposed method.
- 社団法人電子情報通信学会の論文
- 2006-03-01
著者
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Hirose Akira
The Dept. Of Electrical And Electronic Engineering Univ. Of Tokyo
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SUKSMONO Andriyan
the School of Electrical Engineering and Informatics, Institut Teknologi Bandung
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Suksmono Andriyan
The School Of Electrical Engineering And Informatics Institut Teknologi Bandung
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Hirose Akira
The Department Of Frontier Informatics Graduate School Of Frontier Sciences And Also With The Rcast
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Hirose Akira
The Dept. Of Electrical And Electronic Engineering University Of Tokyo
関連論文
- A Fractal Estimation Method to Reduce the Distortion in Phase Unwrapping Process(Sensing)
- Progressive Transform-Based Phase Unwrapping Utilizing a Recursive Structure (Sensing)
- Complex-Valued Region-Based-Coupling Image Clustering Neural Networks for Interferometric Radar Image Processing(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging)