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)

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概要

• 論文の詳細を見る

• Complex-valued region-based-coupling image clustering(continuous soft segmentation) neural networks are proposed for interferometric radar image processing. They deal with the amplitude and phase information of radar data as a combined complex-amplitude image. Thereby, not only the reflectance but also the distance(optical length) are consistently taken into account for the clustering process. A continuous complex-valued label is employed whose structure is the same as that of input raw data and estimation image. Experiments demonstrate successfully the clustering operations for interferometric synthetic aperture radar(InSAR) images. The method is applicable also to future radar systems for image acquisition in, e.g., invisible fire smoke places and intelligent transportation systems by generating a processed image more recognizable by human and automatic recognition machine.

• 一般社団法人電子情報通信学会の論文
• 2001-12-01

著者

• Hirose Akira

  The Department Of Frontier Informatics Graduate School Of Frontier Sciences And Also With The Rcast

• MINAMI Motoi

  the Department of Frontier Informatics, Graduate School of Frontier Sciences, and also with the RCAS

• Minami Motoi

  The Department Of Frontier Informatics Graduate School Of Frontier Sciences And Also With The Rcast

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)

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