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Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009

Date 12-17 July 2009

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  • [Title page]

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  • [Copyright notice]

    Page(s): ii
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  • [Blank page]

    Page(s): iii
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  • Organizing Committee

    Page(s): iv
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  • Technical Program Committee

    Page(s): v - xii
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  • Greetings from GRSS president

    Page(s): xiii
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  • General Chairs' welcome

    Page(s): xiv - xv
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  • Technical program overview

    Page(s): xvi - xvii
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  • [Blank page]

    Page(s): xviii
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  • Table of contents

    Page(s): xix - cxi
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  • Polarimetric analysis from compact-pol measurements: Potential and limitation

    Page(s): V-1 - V-4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (879 KB) |  | HTML iconHTML  

    Global warming is now known to be the major environmental issue mankind will have to face in the next decade. Monitoring of vegetation and biomass is clearly an essential piece of information required at all levels ranging from the scientific studies to understand and forecast, to the political actors and government leaders responsible for drafting remediation policies and evaluating their impact. Microwave remote sensing with the low-frequency SAR technique can provide a useful characterization of forest (spatial coverage, species, density, height...) at a global scale, relying on the all-weather imaging capabilities of SAR linked with the significant penetration of the low-frequency EM wave in the canopy. The published techniques for forest characterization from low frequency SAR data include radiometry inversion, polarimetric inversion based on the anisotropy parameters and PolInSAR Random Volume Over Ground inversion. In this paper, we will more specifically concentrate on the PolSAR technique and the impact of ionospheric effect. View full abstract»

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  • Soil moisture estimation using a multi-angular modified three component polarimetric decomposition

    Page(s): V-5 - V-8
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (820 KB) |  | HTML iconHTML  

    In this paper a modified three component polarimetric decomposition incorporating multi-angular acquisitions is developed to estimate soil moisture under vegetation cover over agricultural areas. The approach is applied on fully-polarimetric L-band data acquired by DLR's airborne E-SAR sensor in the frame of the OPAQUE campaign conducted in May 2008 in the Weißeritz catchment area, near Dresden, Germany. The results for the estimated soil moisture from the overlapping area of the flight strips demonstrate a significant increase of the inversion rate, if more than one acquisition is used. The inverted soil moisture values are validated against in situ measurements for five test fields with different crop types resulting in an RMSE of approximately 7vol.% for different incidence angle constellations. Finally the results show how topographic effects in the soil moisture retrieval can be compensated by multi-angular constellations. View full abstract»

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  • One-dimensional radar interferometry for line infrastructure

    Page(s): V-9 - V-12
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1060 KB) |  | HTML iconHTML  

    Here we present an efficient algorithm to analyze the deformation behavior of line infrastructure, such as water defense structures and railways, using radar interferometric time series. Due to the limited amount of pixels and the consistent reflection properties, a detailed analysis can be performed. By considering neighboring pixels, the influence of a large part of error sources is reduced. However, the strong correlation between pixels should be considered. The algorithm is applied to dikes in the Netherlands, showing global as well as local deformation effects. View full abstract»

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  • InSAR permanent scatterers selection using SAR SVA filtering

    Page(s): V-13 - V-16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (262 KB) |  | HTML iconHTML  

    Permanent scatterers (PS) approach allows the identification of radar targets not affected by decorrelation noise then suitable for reliable SAR interferometric measurements. This paper introduces a new technique allowing the selection of stable scatterers based on adaptative SVA (Spatially Variant Apodization) filtering. Indeed, SVA filters identify SAR pixels with strong reflectivity (maximum of the mainlobe) over a long temporal series of interferometric SAR images which is the main feature of Permanent Scatterers pixels. A comparison between PS candidates pixels and selected SVA pixels is discussed in this study. View full abstract»

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  • Bayesian restoration of interferometric phase through biased anisotropic diffusion

    Page(s): V-17 - V-20
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (466 KB) |  | HTML iconHTML  

    In this paper a new Bayesian algorithm for interferometric phase restoration is presented. Based on a non-linear anisotropic extension of Orientation Diffusions, the inherent directionality of the fringe structure is introduced into its prior model. It also accounts for the periodicity of the phase representation. A fidelity term derived from the anisotropic metrics and the InSAR phase statistics deviates diffusion towards the acquired phase value. It acts as an adapted likelihood of the diffused phase. Hence, phase restoration is a trade-off between directionality and reconstruction fidelity, prior and likelihood. Results are provided on a High Resolution Spotlight scene acquired by TerraSAR-X. View full abstract»

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  • A new algorithm for the phase unwrapping of interferogram stacks

    Page(s): V-21 - V-24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (397 KB) |  | HTML iconHTML  

    Phase unwrapping is a key step in DInSAR stack analysis: it allows restoring the phase values starting from the restricted ones to extract the deformation time series of the observed area. Most of the available interferogram stack phase unwrapping techniques unwrap each interferogram separately. Based on a strategy proposed in the literature, in this work we discuss an unwrapping procedure that exploits both the temporal and spatial characteristics of the interferogram stack. In particular we propose a technique that allows carrying out a temporal unwrapping step with a generic set of interferograms. The validation of our method is carried out by processing simulated data. View full abstract»

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  • A GPU based time-domain raw signal simulator for interferometric SAR

    Page(s): V-25 - V-28
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (333 KB) |  | HTML iconHTML  

    A novel GPU based time-domain raw signal simulator for InSAR is proposed in this paper to exploit the parallel computation of GPU using CUDA language. This simulator combines the advantages of both time-domain and frequency-domain InSAR simulator, i.e., it considers the baseline oscillation and real orbit, and it is also very efficient. Experimental results show the effectiveness of the simulator in varieties of conditions. View full abstract»

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  • Recent activities in the Hyperspectral Imaging Network (HYPER-I-NET): A European consortium fostering imaging spectroscopy research

    Page(s): V-29 - V-32
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (652 KB) |  | HTML iconHTML  

    The Hyperspectral Imaging Network (HYPER-I-NET) is a four-year Marie Curie Research Training Network project designed to build an interdisciplinary European research community focusing on hyperspectral imaging activities. The network is currently formed by a multidisciplinary team composed of fifteen highly experienced European partner organizations. In this paper, we outline the activities that have been carried out in the four main areas covered by HYPER-I-NET: 1) hyperspectral sensor specification, 2) processing chain definition and implementation, 3) calibration, validation and definition of standardization mechanisms, and 4) science applications. Along with the description of the progress made in the four main areas listed above, this paper also describes some of the training and transfer of knowledge activities carried out during the first two years of the project. View full abstract»

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  • Orthorectification and DSM generation with ALOS-Prism data in urban areas

    Page(s): V-33 - V-36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1023 KB) |  | HTML iconHTML  

    In this paper different methods for deriving digital surface models (DSM) from ALOS Prism three line stereo images are generated and analyzed. The methods used are classical hierarchical stereo matching with forward intersection and two different dense stereo methods. These are digital line warping which was derived from speech recognition algorithms and semi global matching which is originating in computer vision. All these dense stereo methods need epipolar imagery as input and provide so called disparity images as output. For this in a first step the Prism images has to be transformed by pairs to epipolar geometry. For the reprojection of the disparity images to real DSMs rational polynomial coefficients - which were computed from the satellite ephemeris and attitude date - are used. Finally the DSMs generated by all these different methods are compared to a DSM derived from an Ikonos stereo image pair with a ground sampling distance of 1 m. View full abstract»

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  • Matching of high resolution optical data to a shaded DEM

    Page(s): V-37 - V-40
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (621 KB) |  | HTML iconHTML  

    One of the first essential steps in the analysis of satellite imagery is the orthorectification of the images. Orthorectification without ground control points (GCPs) using only the ephemeris and attitude data provided by the satellite operator provides an absolute accuracy of about 20 m to 1 km (depending on the satellite), which can be improved by measuring precise GCPs. In this paper, a method to obtain GCPs from an existing digital elevation model (DEM) is described and assessed. Since at least the SRTM DEM is available worldwide, DEMs could serve as a valuable additional source for the generation of GCPs. Furthermore, several planned and ongoing missions will increase the availability and accuracy of DEMs or stereo imagery respectively, e.g. ALOS, Tandem-X, etc. View full abstract»

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  • Calibration of radargrammetric DEMs from RADARSAT-2 high-resolution and fine-quad modes

    Page(s): V-41 - V-43
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1002 KB) |  | HTML iconHTML  

    The new high-resolution and full polarimetric modes of RADARSAT-2 are evaluated for digital elevation model (DEM) generation using stereo-radargrammetry with Toutin's 3D physical model. The stereo-radargrammetric DEMs were evaluated with accurate Lidar data. Results on a test site north of Que¿bec City, Canada showed good accuracy: (2 m 1¿ horizontal and vertical) for Ultra-Fine mode (better than the resolution), and 5 m and 11 m (1¿ horizontal and vertical, respectively) for the Fine-Quad polarimetric mode (about the resolution). View full abstract»

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  • Using geometric accuracy of TerraSAR-X data for improvement of direct sensor orientation and ortho-rectification of optical sattelite data

    Page(s): V-44 - V-47
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (203 KB) |  | HTML iconHTML  

    The very high geometric accuracy of geocoded data of the TerraSAR-X satellite has been shown in several investigations. It is due to the fact that it measures distances which are mainly dependent on the position of the satellite and the terrain height. If the used DEM is of high accuracy, the resulting geocoded data are very precise. This precision can be used to improve the exterior orientation and thereby the geometric accuracy of optical satellite data. The technique used is the measurement of identical points in the images, either by manual measurements or through local image matching using mutual information and to estimate improvements for the attitude data through this information. By adjustment calculations falsely matched points can be eliminated and an optimal improvement can be found. The optical data are orthorectified using these improvements and the available DEM. The results are compared using conventional ground control information from GPS measurements. View full abstract»

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  • Interactive object segmentation in high resolution satellite images

    Page(s): V-48 - V-51
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (510 KB) |  | HTML iconHTML  

    High resolution remote sensing image segmentation is a great challenge in terms of potential applications, but also because of the difficulty of the task. Fully automatic algorithms are not able to extract all the desired features from complex images but visual image analysis is time consuming and tedious (therefore error prone). In this work we present a simple, yet powerful approach for interactive image segmentation. This approach combines the best of the automatic image processing together with the ability of a human operator to choose the objects of interest for a given application. Results are presented on a wide variety of objects and contexts. View full abstract»

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  • Reversible integer wavelet evaluation for DEM progressive compression

    Page(s): V-52 - V-55
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (174 KB) |  | HTML iconHTML  

    The DEM multi-scale representation, progressive compression and transmission based on integer lifting wavelet can eliminate the redundant data between resolutions for web-based spatial information system. Through experimental data and theoretical analysis, the 2/6 integer wavelet was found to be the most suitable transform for the DEM multi-scale progressive compression among the 14 reversible integer wavelet transforms compared. The 2/6 integer wavelet can obtain perfect accuracy performance in DEM multi-resolution data. In addition, it has low computing complexity and favorable compression performance. Two appraisal methods were innovatively proposed to better appraise the accuracy performance in different DEM resolution data. One is the mean distances measurement between two surfaces of different resolution DEM data. The other is the measurement of the terrain representation error's RMSE. View full abstract»

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  • Dynamic tolerance setting method for plane sweep algorithm

    Page(s): V-56 - V-59
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (208 KB) |  | HTML iconHTML  

    In this paper, we analyze the characteristic of floating point numbers computation in scientific computing, and adopt the Gaussian error propagation rule to analyze the computational error. By this method, an appropriate double value (i.e. the dynamic tolerance) is computed in advance and set for the plane sweep algorithm to judge whether two floating point numbers equal. By this method, we can get the segments passing the event point correctly. The dynamic tolerance guarantees the correctness of the plane sweep algorithm despite the floating computational errors. The application based on the plane sweep algorithm indicates that the method works correctly and efficiently for general use. View full abstract»

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