Detection of Radar Targets by means of Fractal Error

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概要

• 論文の詳細を見る

• Fractals provide a good description of natural scenes and objects based on their statistically self-similar property. They are also used to discriminate natural or man-made objects because natural objects have a better fitting to the fractional Brownian motion (fBm) model than artificial objects. Sea clutter as natural phenomena well fit to the fBm to induce little error. On the other hand, targets as man-made objects induce much more error because they frequently deviate from the fBm model. Therefore, the fractal error has a good characteristic to detect targets buried in clutter. We modified the fractal error defined by Cooper to be suitable for radar image processing. For the X-band radar image, the performance of our proposed method is comparable to that of the Cooper's method. For the millimeter wave (MMW) radar images, our method is better than the Cooper's one.

• 社団法人電子情報通信学会の論文
• 1997-11-25

著者

• Sano Motoaki

  Department Of Electronics And Information Engineering Toin University Of Yokohama

• Sano Motoaki

  The Graduate School At Nagatsuta Tokyo Institute Of Technology

• Sano Masashi

  The Department Of Electrical And Electronics Engineering Nippon Institute Of Technology

• Lin C‐p

  Department Of Applied Electronics Tokyo Institute Of Technology:(present Address)chung Shan Institut

• Sekine M

  National Defense Acad. Yokosuka‐shi Jpn

• LIN Chih-ping

  the Graduate School at Nagatsuta, Tokyo Institute of Technology

• SEKINE Matsuo

  the Graduate School at Nagatsuta, Tokyo Institute of Technology

• Sekine Matsuo

  The Graduate School At Nagatsuta Tokyo Institute Of Technology

関連論文

• Detection of Oil Leakage in SAR Images Using Wavelet Feature Extractors and Unsupervised Neural Classifiers(Special Issue on Advances in Radar Systems)
• Detection of Radar Targets Embedded in Sea Ice and Sea Clutter Using Fractals, Wavelets, and Neural Networks(Special Issue on Advances in Radar Systems)
• Vector Signal Processing for 60-120 GHz Gas Absorption Measurement(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging)
• Detection of Radar Targets by means of Fractal Error
• A Wavelet View for Unifying Boolean Discrete Functions and Neural Nets through Haar Transform (Special Issue on New Concept Device and Novel Architecture LSIs)
• Fractal Error Based on Spectral Density Approach for Detecting the Targets in X-Band and MMW Radar Images (特集:基礎・材料・共通部門総合研究会(電気学会))
• Detection of Targets Embedded in Sea Ice Clutter by means of MMW Radar Based on Fractal Dimensions,Wavelets, and Neural Classifiers (Special Issue on Millimeter-wave Short-range Application Systems Technology)
• Suppression of Weibull Radar Clutter (Special Issue on Radar Technology)

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