Rayleigh parameter of a rough layer: Application to forward radar propagation over oil slicks on sea surfaces under the ament model

被引：5

作者：

Pinel, Nicolas ^{[1
]}

Bourlier, Christophe ^{[1
]}

Saillard, Joseph ^{[1
]}

机构：

[1] IREENA Lab, F-44306 Nantes, France

来源：

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2007年 / 49卷 / 09期

关键词：

electromagnetic scattering by rough surfaces; sea surface; layered surfaces; microwave propagation; overwater radar propagation;

D O I：

10.1002/mop.22716

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The well-known Rayleigh parameter, which characterizes the degree of roughness of a corrugated surface for the case of reflection on a rough surface, is extended to the refection on a rough la ver. An application to the forward radar propagation over oil slicks on sea surfaces, using the Ament model, is given. (C) 2007 Wiley Periodicals, Inc.

引用

页码：2285 / 2290

页数：6

共 5 条

[1] Forward radar propagation over oil slicks on sea surfaces using the ament model with shadowing effect
Pinel, N.
Bourlier, C.
Saillard, J.
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER, 2007, 76 : 95 - 126
[2] The effects of shadowing on modelling forward radar propagation over a rough sea surface
Freund, D. E.
Woods, N. E.
Ku, H. -C.
Awadallah, R. S.
WAVES IN RANDOM AND COMPLEX MEDIA, 2008, 18 (03) : 387 - 408
[3] Calculation of Electromagnetic Propagation Characteristics over Rough Sea Surface Based on Double-layer Model
Cui Mengda
Cha Hao
Tian Bin
Wang Qun
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 40 (10) : 2529 - 2534
[4] Forward radar propagation over a rough sea surface: A numerical assessment of the Miller-Brown approximation using a horizontally polarized 3-GHz line source
Freund, DE
Woods, NE
Ku, HC
Awadallah, RS
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2006, 54 (04) : 1292 - 1304
[5] Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer Learning Approach
Genovez, Patricia Carneiro
Ponte, Francisco Fabio de Araujo
Matias, Italo de Oliveira
Torres, Sarah Barron
Beisl, Carlos Henrique
Mano, Manlio Fernandes
Silva, Gil Marcio Avelino
de Miranda, Fernando Pellon
REMOTE SENSING, 2023, 15 (06)

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