The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Speckle은 통계적으로 어두운 픽셀의 일련의 연결을 가져오며, 이는 합성 개구 레이더(SAR) 이미지에서 어두운 선 특징으로 관찰될 수 있습니다. 어두운 선은 물리적인 의미가 없습니다. 본 논문에서는 강도가 K-분포를 따르는 고해상도 SAR 이미지의 이러한 종류의 선 특징을 연구합니다. 1-look K 분포 영상의 어두운 선 특징이 지수 분포 영상의 어두운 선 특징보다 더 뚜렷이 관찰될 수 있다는 것을 확률론적으로 설명합니다. K분포 영상을 다각화하더라도 이러한 선특징은 충분히 검출 가능함을 알 수 있다. 시뮬레이션된 이미지와 실제 SAR 이미지에 대한 실험을 통해 설명이 확인되었습니다.
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Seisuke FUKUDA, Motoshi BABA, Haruto HIROSAWA, "Dark Line Features Observed in K-Distributed Synthetic Aperture Radar Images" in IEICE TRANSACTIONS on Communications,
vol. E83-B, no. 9, pp. 1938-1944, September 2000, doi: .
Abstract: Speckle statistically brings series connections of dark pixels, which can be observed as dark line features in synthetic aperture radar (SAR) images. The dark lines have no physical meaning. In this paper, line features of that kind in high-resolution SAR images whose intensity obeys a K-distribution are studied. It is stochastically explained that the dark line features in 1-look K-distributed images can be observed more distinctly than those in exponential distributed images. It is further revealed that such line features are detectable enough, even if the K-distributed images are multilooked. The experiments on simulated images as well as on actual SAR images confirm the explanation.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e83-b_9_1938/_p
부
@ARTICLE{e83-b_9_1938,
author={Seisuke FUKUDA, Motoshi BABA, Haruto HIROSAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Dark Line Features Observed in K-Distributed Synthetic Aperture Radar Images},
year={2000},
volume={E83-B},
number={9},
pages={1938-1944},
abstract={Speckle statistically brings series connections of dark pixels, which can be observed as dark line features in synthetic aperture radar (SAR) images. The dark lines have no physical meaning. In this paper, line features of that kind in high-resolution SAR images whose intensity obeys a K-distribution are studied. It is stochastically explained that the dark line features in 1-look K-distributed images can be observed more distinctly than those in exponential distributed images. It is further revealed that such line features are detectable enough, even if the K-distributed images are multilooked. The experiments on simulated images as well as on actual SAR images confirm the explanation.},
keywords={},
doi={},
ISSN={},
month={September},}
부
TY - JOUR
TI - Dark Line Features Observed in K-Distributed Synthetic Aperture Radar Images
T2 - IEICE TRANSACTIONS on Communications
SP - 1938
EP - 1944
AU - Seisuke FUKUDA
AU - Motoshi BABA
AU - Haruto HIROSAWA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E83-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2000
AB - Speckle statistically brings series connections of dark pixels, which can be observed as dark line features in synthetic aperture radar (SAR) images. The dark lines have no physical meaning. In this paper, line features of that kind in high-resolution SAR images whose intensity obeys a K-distribution are studied. It is stochastically explained that the dark line features in 1-look K-distributed images can be observed more distinctly than those in exponential distributed images. It is further revealed that such line features are detectable enough, even if the K-distributed images are multilooked. The experiments on simulated images as well as on actual SAR images confirm the explanation.
ER -