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Microwave Scattering and Emission Models for Users.
Today, microwave remote sensing has evolved into a valuable and economical tool for a variety of applications. It is used in a wide range of areas, from geological sensing, geographical mapping, and weather monitoring, to GPS positioning, aircraft traffic, and mapping of oil pollution over the sea s...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Norwood :
Artech House,
2009.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Fung, Adrian K. | |
| 245 | 1 | 0 | |a Microwave Scattering and Emission Models for Users. |
| 260 | |a Norwood : |b Artech House, |c 2009. | ||
| 300 | |a 1 online resource (445 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | |a Microwave Scattering and Emission Models for Users; Contents; Preface; Chapter 1 Introduction to Microwave Scattering and Emission Models for Users; 1.1 INTRODUCTION; 1.2 ORGANIZATION; 1.3 MODEL DEFINITIONS FOR ACTIVE AND PASSIVE SENSING; Chapter 2 The Small Perturbation Surface Backscattering Model; 2.1 INTRODUCTION; 2.1.1 Shadowing Considerations; 2.2 ISOTROPIC EXPONENTIAL CORRELATION WITH A GAUSSIANHEIGHT DISTRIBUTION; 2.2.1 Theoretical Trends for the Exponential Correlation; 2.2.2 Comparison with Measurements; 2.3 ISOTROPIC GAUSSIAN CORRELATION WITH A GAUSSIANHEIGHT DISTRIBUTION. | |
| 505 | 8 | |a 2.3.1 Theoretical Trends for the Gaussian Correlation2.3.2 Comparison with Measurements; 2.4 ISOTROPIC X-POWER CORRELATION WITH A GAUSSIAN HEIGHT DISTRIBUTION; 2.4.1 Theoretical Trends for the x-Power Correlation; 2.4.2 Comparison with Measurements; 2.5 ISOTROPIC X-EXPONENTIAL CORRELATION WITH A GAUSSIAN HEIGHT DISTRIBUTION; 2.5.1 Theoretical Trends for the x-Exponential Correlation; 2.5.2 Comparison with Measurements; 2.6 ISOTROPIC EXPONENTIAL-LIKE CORRELATION WITH AGAUSSIAN HEIGHT DISTRIBUTION; 2.6.1 Theoretical Trends for the Exponential-Like Correlation; 2.6.2 Comparison with Measurements. | |
| 505 | 8 | |a 2.7 DISCUSSIONReferences; Chapter 3 The Simplified Integral Equation Surface Backscattering Model; 3.1 INTRODUCTION; 3.1.1 The Simplified IEM Model; 3.1.2 Computer Program Organization; 3.2 ISOTROPIC EXPONENTIAL CORRELATION; 3.2.1 Theoretical Trends in Like Polarized Scattering with Exponential Correlation; 3.2.2 Theoretical Trends in Cross-Polarized Scattering with ExponentialCorrelation; 3.2.3 Comparison with Measurements; 3.3 ISOTROPIC GAUSSIAN CORRELATION; 3.3.1 Theoretical Trends in Like Polarized Scattering with Gaussian Correlation. | |
| 505 | 8 | |a 3.3.2 Theoretical Trends in Cross-Polarized Scattering with Gaussian Correlation3.3.3 Comparison with Measurements and Simulations; 3.4 ISOTROPIC X-POWER CORRELATION; 3.4.1 Theoretical Trends in Like Polarized Scattering with x-PowerCorrelation; 3.4.2 Theoretical Trends in Cross-Polarized Scattering with x-Power Correlation; 3.4.3 Comparison with Measurements and Simulations; 3.5 ISOTROPIC X-EXPONENTIAL CORRELATION; 3.5.1 Theoretical Trends in Like Polarized Scattering with x-ExponentialCorrelation; 3.5.2 Comparison with Measurements; 3.6 ISOTROPIC EXPONENTIAL-LIKE CORRELATION. | |
| 505 | 8 | |a 3.6.1 A Comparison of Spectral Contents3.6.2 Theoretical Trends in Like Polarized Scattering with Exponential-LikeCorrelation; 3.6.3 Comparison with Measurements and Simulations; 3.7 DISCUSSION; References; Chapter 4 The IEM-B Surface Backscattering Model; 4.1 INTRODUCTION; 4.2 ISOTROPIC EXPONENTIAL CORRELATION; 4.2.1 Theoretical Trends for Like Polarization with Exponential Correlation; 4.2.2 Comparison with Measurements; 4.3 ISOTROPIC GAUSSIAN CORRELATION; 4.3.1 Theoretical Trends for Like Polarization with Gaussian Correlation; 4.3.2 Comparison with Measurements and Simulations. | |
| 520 | |a Today, microwave remote sensing has evolved into a valuable and economical tool for a variety of applications. It is used in a wide range of areas, from geological sensing, geographical mapping, and weather monitoring, to GPS positioning, aircraft traffic, and mapping of oil pollution over the sea surface. This unique resource provides you with practical scattering and emission data models that represent the interaction between electromagnetic waves and a scene on the Earth surface in the microwave region. The book helps you understand and apply these models to your specific work in the field. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Bistatic radar |x Mathematical models. | |
| 650 | 0 | |a Radar cross sections. | |
| 650 | 6 | |a Radar bistatique |x Modèles mathématiques. | |
| 650 | 6 | |a Surfaces équivalentes radar. | |
| 650 | 7 | |a Bistatic radar |x Mathematical models |2 fast | |
| 650 | 7 | |a Radar cross sections |2 fast | |
| 700 | 1 | |a Chen, K. S. |q (Kun-Shan), |d 1959- |1 https://id.oclc.org/worldcat/entity/E39PBJmTr3hHgtRWHjV9XHRMyd | |
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| 776 | 0 | 8 | |i Print version: |a Fung, Adrian K. |t Microwave Scattering and Emission Models for Users. |d Norwood : Artech House, ©2009 |z 9781608070374 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=946544 |z Texto completo |
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| 994 | |a 92 |b IZTAP | ||