GeMoS-a system for the geocoding and mosaicking of interferometric digital elevation models

Roth, Achim; Knöpfle, Walter; Rabus, Bernhard; Gebhardt, Steffen; Scales, D.

doi:10.1109/igarss.1999.774553

Cited by 12 publications

(9 citation statements)

References 2 publications

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“…Since the strip-map SAR impulse response is time-invariant, the PSD of the SAR signals is also rectangularly shaped (assuming zero-Doppler steering): rect (33) Consequently, their correlation is a trifunction with bandwidth 2 centered around zero frequency. Thus, we obtain the following for the normalized power spectrum from (31) and using (32):…”

Section: A Spectrum Of Strip-map Interferogramsmentioning

confidence: 99%

Burst-mode and ScanSAR interferometry

Holzner

Bamler

2002

IEEE Trans. Geosci. Remote Sensing

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ScanSAR interferometry is an attractive option for efficient topographic mapping of large areas and for monitoring of large-scale motions. Only ScanSAR interferometry made it possible to map almost the entire landmass of the earth in the 11-day Shuttle Radar Topography Mission. Also the operational satellites RADARSAT and ENVISAT offer ScanSAR imaging modes and thus allow for repeat-pass ScanSAR interferometry. This paper gives a complete description of ScanSAR and burst-mode interferometric signal properties and compares different processing algorithms. The problems addressed are azimuth scanning pattern synchronization, spectral shift filtering in the presence of high squint, Doppler centroid estimation, different phase-preserving ScanSAR processing algorithms, ScanSAR interferogram formation, coregistration, and beam alignment. Interferograms and digital elevation models from RADARSAT ScanSAR Narrow modes are presented. The novel "pack-and-go" algorithm for efficient burst-mode range processing and a new time-variant fast interpolator for interferometric coregistration are introduced.

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Section: A Spectrum Of Strip-map Interferogramsmentioning

confidence: 99%

Burst-mode and ScanSAR interferometry

Holzner

Bamler

2002

IEEE Trans. Geosci. Remote Sensing

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“…[1], [2], [3]). The database served as and still is part of the geocoding system for radar missions: SRTM/X-SAR [4], TerraSAR-X [5]. It is also used in an operational processing chain for optical airborne data [6].…”

Section: Introductionmentioning

confidence: 99%

W42 - a scalable spatial database system for holding Digital Elevation Models

Habermeyer

Marschalk

Roth

2009

2009 17th International Conference on Geoinformatics

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The design of a scalable system for holding spatial data in general and Digital Elevation Models (DEMs) in specific has to account for the characteristics of data from various application fields. The data can be heterogeneous in coverage, as well as in resolution, information content and quality. A database aiming at the representation of world-wide DEMs has to consider these differences in the design of the system with respect to the structure and the algorithms. The database system W42, which is presented in the work at hand, is a scalable spatial database system capable of holding, extracting, mosaicking, and fusing spatial data represented in raster-as well as in vector-format. Design aspects for this task can be specified as holding spatial data in unique data structures and providing unique access functions to the data. These are subject of this work as well as first experiences gained from the implementation of part of the extensions made for the TanDEM-X mission.

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“…Of the range of image similarity-based registration methods, the Cross Correlation Function (CCF) has often been employed for the registration of raster DEMs (Li & Bethel, 2008;Costantini et al, 2006;Roth et al, 1999). Mutual Information (MI) offers another similarity measure that has been adopted for a variety of applications (Viola & Wells III 1996), including the registration of medical imagery.…”

Section: Introductionmentioning

confidence: 99%

Dem Registration Based on Mutual Information

Ravanbakhsh

Fraser

2012

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The registration process forms an important step in the integration of Digital Elevation Models (DEMs) of differing accuracy and resolution. DEM registration invariably involves what is effectively an 'image matching' process utilising similarity measures. Of a number of prospective image matching approaches, Mutual Information (MI) offers potential for application to DEM registration. MI has proven to be a robust and accurate method of image registration, especially in the field of medical imaging. However, a lack of variation within the terrain models potentially limits the utility of MI for the matching of multi-resolution DEMs. This paper investigates the potential of MI for DEM registration, and proposes an improved Gradient-based MI (GMI) in which the matching is applied to raster DEMs where the elevation value at each grid point is replaced by the surface gradient magnitude at that point. Experimental results demonstrate that MI-based methods can outperform the often employed Cross Correlation Function (CCF). Furthermore, the GMI approach has been found to produce a more accurate and robust registration than MI.

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GeMoS-a system for the geocoding and mosaicking of interferometric digital elevation models

Cited by 12 publications

References 2 publications

Burst-mode and ScanSAR interferometry

Burst-mode and ScanSAR interferometry

W42 - a scalable spatial database system for holding Digital Elevation Models

Dem Registration Based on Mutual Information

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