Fitting a statistical model to SIR-C SAR images of the sea surface

Fusco A.; Galdi C.; Ricci G.; Tesauro M.

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Fitting a statistical model to SIR-C SAR images of the sea surface

机译：将统计模型拟合到海面的SIR-C SAR图像

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A suite of statistical procedures aimed at assessing to what extent polarimetric and/or multifrequency synthetic aperture radar (SAR) images of the sea surface can be modeled in terms of spherically invariant random vectors and matrices (SIRVs and SIRMs) is presented. The proposed tests assume that images can be described by resorting to the compound-Gaussian model, but do not require any a priori knowledge about the actual first-order probability density function (pdf) of the texture. The tests have also been used to analyze three data sets from STR-C/X-SAR missions.

机译：提出了一套统计程序，旨在评估球面不变的随机矢量和矩阵（SIRV和SIRM）可对海面的极化和/或多频合成孔径雷达（SAR）图像进行建模的程度。提出的测试假定可以通过使用复合高斯模型来描述图像，但是不需要任何有关纹理的实际一阶概率密度函数（pdf）的先验知识。这些测试还用于分析STR-C / X-SAR任务的三个数据集。

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《IEEE Transactions on Aerospace and Electronic Systems》 |2004年第4期|p.1179-1190|共12页
作者
Fusco A.; Galdi C.; Ricci G.; Tesauro M.;
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正文语种 eng
中图分类航空;
关键词
geophysical signal processing; oceanographic techniques; radar imaging; remote sensing by radar; statistical analysis; synthetic aperture radar; SIR-C SAR images; compound-Gaussian model; multifrequency synthetic aperture radar; polarimetric synthetic aperture ra;

机译：地球物理信号处理;海洋学技术;雷达成像;雷达遥感;统计分析;合成孔径雷达;SIR-C SAR图像;复合高斯模型;多频合成孔径雷达;极化合成孔径雷达;

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1. Mathematical Models of Location Signals Reflected from the Underlying Surfaces of the Earth and the Sea Modeling SAR Images for Ecosystem Monitoring Task [J] . Gysberth Maurits Wattimena International journal of soft computing . 2021,第3期

机译：从地球下面反射的位置信号的数学模型以及生态系统监控任务的地球底层和海景SAR图像
2. Sea Surface Wind Retrievals from SIR-C/X-SAR Data: A Revisit [J] . Guoqing Zhou, Prasad S. Thenkabail, Richard Gloaguen, Remote Sensing . 2015,第4期

机译：从SIR-C / X-SAR数据中提取海表风的回顾
3. Doppler Algorithm for Modeling Sea Surface Current from RADARSAT-1 SAR Images [J] . Maged Marghany, Mazlan Hashim International journal of computer science and network security . 2008,第5期

机译：利用RADARSAT-1 SAR图像建模海面海流的多普勒算法
4. Statistical modeling of multipolarization and multifrequency SAR images of the sea surface [C] . Fusco A., Galdi C., Ricci G., RADAR 2002 . 2002

机译：海面多极化和多频SAR图像的统计建模
5. Processing, surface cover mapping and analysis of spaceborne radar data over Mono Lake/Long Valley using surface roughness generated from SIR-C/X-SAR imagery (California). [D] . Rael, Andrew F. 2003

机译：使用从SIR-C / X-SAR图像生成的表面粗糙度（加利福尼亚），对Mono湖/ ong河谷上的星载雷达数据进行处理，表面覆盖图绘制和分析。
6. Small-Target Detection between SAR Images Based on Statistical Modeling of Log-Ratio Operator [O] . Chao Chen, Kuihua Huang, Gui Gao 2019

机译：基于对数比算子统计建模的SAR图像间小目标检测
7. Radar backscatter statistics from the sea surface: Implications of SIR-C/X-SAR observations from the NE Atlantic [O] . J. T. Macklin, N. R. Stapleton 1998

机译：海面雷达背散射统计数据：来自侄子大西洋的先生-C / X-SAR观测的含义
8. Earth Surface Change as Viewed by the Spaceborne Imaging Radar-C. X-Band Synthetic Aperture Radar (SIR-C/X-SAR) and shuttle Hand-Held Photographs [R] . Evans, D. L., Stofan, E. R., Jones, T. D., 1994

机译：由星载成像雷达观测的地球表面变化。 X波段合成孔径雷达（sIR-C / X-saR）和穿梭手持式照片

Fitting a statistical model to SIR-C SAR images of the sea surface

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