Geolocation and Stereo Height Estimation Using TerraSAR-X Spotlight Image Data

Eldhuset, K.; Weydahl, Dan Johan

doi:10.1109/tgrs.2011.2160951

Cited by 21 publications

(14 citation statements)

References 9 publications

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“…Eldhuset and Weydahl (2011) found a residual Doppler (equivalent to the azimuth offset), which was of the same order as the azimuth residual found in Gisinger et al (2015) in Figure 8 b for the TMSP v4.4 processor. The updated TMSP v4.5 and v4.6 were found to be more accurate.…”

supporting

confidence: 59%

“…The height of ambiguity (Amb), Incidence angle (Inc), and average coherence of the scenes are given in Tables 1-3. The residual Doppler was found to be less than 0.1 Hz for all scenes in Tables 1-3, which is only one-tenth of the residual Doppler observed in Eldhuset and Weydahl (2011).…”

Section: Data Setmentioning

confidence: 63%

“…For this test site, there is infrastructure with GCPs such as light poles, fences, road signs, and other point-like objects in or close to small flat regions where estimation of the heights from small squares in the DEMs can be made. In addition, there were three CRs that were used in Eldhuset and Weydahl (2011). The second test site is around Nikel in Russia, close to the Norwegian border, which follows the Pasvik river.…”

Section: Data Setmentioning

confidence: 99%

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Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

Eldhuset

2017

International Journal of Remote Sensing

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The objective of this work is to generate accurate digital elevation models (DEMs) from synthetic aperture radar (SAR) interferograms using the spotlight and staring spotlight modes during the TanDEM-X (TDX) science phase. We use stereo SAR with TDX or TerraSAR-X (TSX) to estimate absolute heights of natural or manmade reflectors for input to the unwrapped interferograms. The accuracy of the absolute heights in the DEMs was a few decimetres in flat regions and a few metres in the hilly and rugged terrain. ARTICLE HISTORY

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supporting

confidence: 59%

Section: Data Setmentioning

confidence: 63%

Section: Data Setmentioning

confidence: 99%

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Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

Eldhuset

2017

International Journal of Remote Sensing

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“…This resulted in a point cloud that required interpolation in order to give a regular raster of height values. The geocoding used the attached TerraSAR-X geolocation data that are known to be accurate [37] and the resulting output raster (DSM) was generated with 10 m pixel size and projected with UTM-33N onto the WGS84 ellipsoid. An example of a generated DSM that overlays an ALS DTM is illustrated in Figure 4.…”

Section: Data Processingmentioning

confidence: 99%

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Persson

Fransson

2014

Remote Sensing

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Abstract:The last decade has seen launches of radar satellite missions operating in X-band with the sensors acquiring images with spatial resolutions on the order of 1 m. This study uses digital surface models (DSMs) extracted from stereo synthetic aperture radar images and a reference airborne laser scanning digital terrain model to calculate the above-ground biomass and tree height. The resulting values are compared to in situ data. Analyses were undertaken at the Swedish test sites Krycklan (64°N) and Remningstorp (58°N), which have different site conditions. The results showed that, for 459 forest stands in Remningstorp, biomass estimation at the stand level could be performed with 22.9% relative root mean square error, while the height estimation showed 9.4%. Many factors influenced the results and it was found that the topography has a significant effect on the generated DSMs and should therefore be taken into consideration when the stand level mean slope is above four degrees. Different tree species did not have a major effect on the models during leaf-on conditions. Moreover, correct estimation within young forest stands was problematic. The intersection angles resulting in the best results were in the range 8-16°. Based on the results in this study, radargrammetry appears to be a promising potential remote sensing technique for future forest applications.

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“…First examples were already discussed in the literature, e.g., the efficient survey of landmarks along road networks [32] or the stereo measurement of building heights [33]. The synergetic usage of geodetic SAR and SAR tomography is discussed in [34].…”

Section: Discussionmentioning

confidence: 99%

Measurements on the Absolute 2-D and 3-D Localization Accuracy of TerraSAR-X

Balss¹,

Gisinger²,

Eineder³

2018

Remote Sensing

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Abstract:The German TerraSAR-X radar satellites TSX-1 and TDX-1 are well-regarded for their unprecedented geolocation accuracy. However, to access their full potential, Synthetic Aperture Radar (SAR)-based location measurements have to be carefully corrected for effects that are well-known in the area of geodesy but were previously often neglected in the area of SAR, such as wave propagation and Earth dynamics. Our measurements indicate that in this way, when SAR is handled as a geodetic measurement instrument, absolute localization accuracy at better than centimeter level with respect to a given geodetic reference frame is obtained in 2-D and, when using stereo SAR techniques, also in 3-D. The TerraSAR-X measurement results presented in this study are based on a network of three globally distributed geodetic observatories. Each is equipped with one or two trihedral corner reflectors with accurately (<5 mm) known reference coordinates, used as a reference for the verification of the SAR measured coordinates. Because these observatories are located in distant parts of the world, they give us evidence on the worldwide reproducibility of the obtained results. In this paper we report the achieved results of measurements performed over 6 1/2 years (from July 2011 to January 2018) and refer to some first new application areas for geodetic SAR.

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Geolocation and Stereo Height Estimation Using TerraSAR-X Spotlight Image Data

Cited by 21 publications

References 9 publications

Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

Combination of stereo SAR and InSAR for DEM generation using TanDEM-X spotlight data

Forest Variable Estimation Using Radargrammetric Processing of TerraSAR-X Images in Boreal Forests

Measurements on the Absolute 2-D and 3-D Localization Accuracy of TerraSAR-X

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