Ramon F. Hanssen

Bio: Ramon F. Hanssen is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Interferometric synthetic aperture radar & Synthetic aperture radar. The author has an hindex of 32, co-authored 257 publications receiving 5901 citations. Previous affiliations of Ramon F. Hanssen include National Center for Atmospheric Research & Geospatial Information Authority of Japan.

Radar Interferometry: Data Interpretation and Error Analysis

Abstract: Preface. Summary. Nomenclature. 1. Introduction. 2. Radar system theory and interferometric processing. 3. Functional model for radar interferometry. 4. Stochastic model for radar interferometry. 5. Data analysis and interpretation for deformation monitoring. 6. Atmospheric monitoring. 7. Conclusions and recommendations. A. Comparison neutral delay GPS and InSAR. B. Structure function and power spectrum. Bibliography. About the Author. Index.

Radar Interferometry with Public Domain Tools

Abstract: The development of public-domain software in the scientic community has stimulated a fast and free dissemination of ideas. Here we present latest contributions to public-domain radar interferometry software to create interferometric products and to analyze and visualize these products. We present the feasibility of the Doris radar interferometric software of Delft University of Technology to create ENVISAT interferometric products such as DEMs and deformation maps. A stepwise description of the creation of an ENVISAT DEM of the Las Vegas area is presented, using besides Doris the ESA BEAM toolbox, the statistical cost phase unwrapper SNAPHU (Stanford University), the Generic Mapping Tools (University of Hawaii), and the PROJ.4 package (USGS). Finally, the GRASS GIS software is used to drape a LandSAT image on top of the computed DEM in order to show the analysis and visualization capabilities of this free GIS package. These packages are also described briey in this paper. Both advantages as well as drawbacks of these tools are discussed. It is the intention of this paper to demonstrate how a larger scientic community can benet from freely available tools, and which contributions need to be solicited for.

High-Resolution Water Vapor Mapping from Interferometric Radar Measurements

Abstract: Spaceborne radar interferometric delay measurements were used to infer high-resolution maps of integrated atmospheric water vapor, which can be readily related to meteorological phenomena. Maps of the water vapor distribution associated with a precipitating cloud, a partly precipitating cold front, and horizontal convective rolls reveal quantitative measures that are not observed with conventional methods, and suggest that such radar observations can be used for forecasting and to study atmospheric dynamics.

Ambiguity resolution for permanent scatterer interferometry

Abstract: In the permanent scatterer technique of synthetic aperture radar interferometry, there is a need for an efficient and reliable nonlinear parameter inversion algorithm that includes estimation of the phase cycle ambiguities. Present techniques make use of a direct search of the solution space, treating the observations as deterministic and equally weighted, and which do not yield an exact solution. Moreover, they do not describe the quality of the estimated parameters. Here, we use the integer least squares estimator, which has the highest probability of correct integer estimation for problems with a multivariate normal distribution. With this estimator, the propagated variance-covariance matrix of the estimated parameters can be obtained. We have adapted the LAMBDA method, part of an integer least squares estimator developed for the ambiguity resolution of carrier phase observations in global positioning systems, to the problem of permanent scatterers. Key elements of the proposed method are the introduction of pseudo-observations to regularize the system of equations, decorrelation of the ambiguities for an efficient estimation, and the combination of a bootstrap estimator with an integer least squares search to obtain the final integer estimates. The performance of the proposed algorithm is demonstrated using simulated and real data.

Table Of Integrals Series And Products

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Permanent scatterers in SAR interferometry

Abstract: Temporal and geometrical decorrelation often prevents SAR interferometry from being an operational tool for surface deformation monitoring and topographic profile reconstruction. Moreover, atmospheric disturbances can strongly compromise the accuracy of the results. The authors present a complete procedure for the identification and exploitation of stable natural reflectors or permanent scatterers (PSs) starting from long temporal series of interferometric SAR images. When, as it often happens, the dimension of the PS is smaller than the resolution cell, the coherence is good even for interferograms with baselines larger than the decorrelation one, and all the available images of the ESA ERS data set can be successfully exploited. On these pixels, submeter DEM accuracy and millimetric terrain motion detection can be achieved, since atmospheric phase screen (APS) contributions can be estimated and removed. Examples are then shown of small motion measurements, DEM refinement, and APS estimation and removal in the case of a sliding area in Ancona, Italy. ERS data have been used.

Principles Of Optics Electromagnetic Theory Of Propagation Interference And Diffraction Of Light

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Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry

Abstract: Discrete and temporarily stable natural reflectors or permanent scatterers (PS) can be identified from long temporal series of interferometric SAR images even with baselines larger than the so-called critical baseline. This subset of image pixels can be exploited successfully for high accuracy differential measurements. The authors discuss the use of PS in urban areas, like Pomona, CA, showing subsidence and absidence effects. A new approach to the estimation of the atmospheric phase contributions, and the local displacement field is proposed based on simple statistical assumptions. New solutions are presented in order to cope with nonlinear motion of the targets.