IEICE TRANSACTIONS on Communications
Detection of Radar Targets by means of Fractal Error
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E80-B No.11 pp.1741-1748
- Publication Date
- 1997/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Category
- Electronic and Radio Applications
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Chih-ping LIN, Motoaki SANO, Matsuo SEKINE, "Detection of Radar Targets by means of Fractal Error" in IEICE TRANSACTIONS on Communications,
vol. E80-B, no. 11, pp. 1741-1748, November 1997, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e80-b_11_1741/_p
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@ARTICLE{e80-b_11_1741,
author={Chih-ping LIN, Motoaki SANO, Matsuo SEKINE, },
journal={IEICE TRANSACTIONS on Communications},
title={Detection of Radar Targets by means of Fractal Error},
year={1997},
volume={E80-B},
number={11},
pages={1741-1748},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - Detection of Radar Targets by means of Fractal Error
T2 - IEICE TRANSACTIONS on Communications
SP - 1741
EP - 1748
AU - Chih-ping LIN
AU - Motoaki SANO
AU - Matsuo SEKINE
PY - 1997
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E80-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 1997
AB - 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.
ER -
English
