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Radar Interferometry

Data Interpretation and Error Analysis

  • 2001
  • Buch
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Über dieses Buch

This book is the product of five and a half years of research dedicated to the und- standing of radar interferometry, a relatively new space-geodetic technique for m- suring the earth’s topography and its deformation. The main reason for undertaking this work, early 1995, was the fact that this technique proved to be extremely useful for wide-scale, fine-resolution deformation measurements. Especially the interf- ometric products from the ERS-1 satellite provided beautiful first results—several interferometric images appeared as highlights on the cover of journals such as Nature and Science. Accuracies of a few millimeters in the radar line of sight were claimed in semi-continuous image data acquired globally, irrespective of cloud cover or solar illumination. Unfortunately, because of the relative lack of supportive observations at these resolutions and accuracies, validation of the precision and reliability of the results remained an issue of concern. From a geodetic point of view, several survey techniques are commonly available to measure a specific geophysical phenomenon. To make an optimal choice between these techniques it is important to have a uniform and quantitative approach for describing the errors and how these errors propagate to the estimated parameters. In this context, the research described in this book was initiated. It describes issues involved with different types of errors, induced by the sensor, the data processing, satellite positioning accuracy, atmospheric propagation, and scattering character- tics. Nevertheless, as the first item in the subtitle “Data Interpretation and Error Analysis” suggests, data interpretation is not always straightforward.

Inhaltsverzeichnis

Frontmatter
Chapter 1. Introduction
Chapter 2. Radar system theory and interferometric processing
Abstract
This chapter reviews the basic concepts of radar and interferometry. It consists of a short history of radar, SAR, and interferometry, followed by an instrument description, listing the main components of a typical SAR instrument. A section on image formation describes the main processing issues in the formation of a complex SAR image based on raw satellite radar data. A major part of this chapter focuses on the interferometric processing cookbook, discussing the main issues and problems. Differential interferometry is covered in the last section of this chapter.
Chapter 3. Functional model for radar interferometry
Abstract
A generic Gauss-Markoff model is introduced and applied to describe the functional and stochastic relations for two-pass spaceborne radar interferometry. This chapter covers the functional part of this model, which describes the physical and geometric relations between the observations and the parameters. The model is refined for specific applications such as topography estimation, deformation mapping, and atmospheric mapping. An extended model is presented to treat three-pass and four-pass differential interferometry, as well as interferogram stacking.
Chapter 4. Stochastic model for radar interferometry
Abstract
This chapter presents the stochastic part of the Gauss-Markoff model for radar interferometry. It revisits the necessary theoretical concepts before focusing on the single-point statistics and multiple-point statistics. The quality of an interferogram is described in terms of the first and second moments. Error sources introduced by scattering, geometry, instrument, orbit, atmosphere, and signal processing are discussed. Models are proposed to describe atmospheric signal due to turbulent mixing and vertical stratification. Error propagation is used to derive a generic stochastic model.
Chapter 5. Data analysis and interpretation for deformation monitoring
Abstract
This chapter focuses on the application of repeat-pass (differential) interferometry for deformation monitoring. Some case studies are presented which serve as an example for the feasibility and limitations of the technique.
Chapter 6. Atmospheric monitoring
Abstract
This chapter presents first results of Interferometric Radar Meteorology (IRM), showing how radar interferometric delay measurements can be used to infer high resolution maps of integrated atmospheric water vapor. Maps of the water vapor distribution can be readily related to meteorological phenomena, and suggest that radar observations can be used to study atmospheric dynamics and may contribute to forecasting. The theory and sensitivity analysis of the various atmospheric refractivity contributions is discussed. IRM results are validated using conventional meteorological techniques and GPS observations.
Chapter 7. Conclusions and recommendations
Abstract
The general problem statement of this study was formulated in chapter 1 as: “How can the interpretation and analysis of repeat-pass spaceborne radar interferometric data be improved in a systematic way via a model-based quantification of the error sources?” Here we present the main contributions of this research and recommendations for further studies and practical application of radar interferometry as a geodetic technique.
Backmatter
Titel
Radar Interferometry
Verfasst von
Ramon F. Hanssen
Copyright-Jahr
2001
Verlag
Springer Netherlands
Electronic ISBN
978-0-306-47633-4
Print ISBN
978-0-7923-6945-5
DOI
https://doi.org/10.1007/0-306-47633-9

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