Stereo analysis of high-resolution SAR images for building height estimation in cases of orthogonal aspect directions

Soergel, Uwe; Michaelsen, Eckart; Thiele, Antje; Cadario, Erich; Thoennessen, Ulrich

doi:10.1016/j.isprsjprs.2008.10.007

Cited by 67 publications

(22 citation statements)

References 20 publications

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“…In remote sensing, height information in urban areas is derived from stereoscopic aerial images [4]- [6], satellitebased stereo images [6]- [9], or spaceborne SAR data [10], [11]. Furthermore, light detection and ranging (LiDAR) represents a traditional data set, used to derive building models [12]- [16].…”

mentioning

confidence: 99%

Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations

Wurm

d’Angelo

Reinartz

et al. 2014

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Building models are a valuable information source for urban studies and in particular for analyses of urban mass concentrations (UMCS). Most commonly, light detection and ranging (LiDAR) is used for their generation. The trade-off for the high geometric detail of these data is the low spatial coverage, comparably high costs and low actualization rates. Spaceborne stereo data from Cartosat-1 are able to cover large areas on the one hand, but hold a lower geometric resolution on the other hand. In this paper, we investigate to which extent the geometric shortcomings of Cartosat-1 can be overcome integrating building footprints from topographic maps for the derivation of large-area building models. Therefore, we describe the methodology to derive digital surface models (DSMs) from Cartosat-1 data and the derivation of building footprints from topographic maps at 1:25 000 (DTK-25). Both data are fused to generate building block models for four metropolitan regions in Germany with an area of ∼ 16 000 km 2 . Building block models are further aggregated to 1 × 1 km grid cells and volume densities are computed. Volume densities are classified to various levels of UMCs. Performance evaluation of the building block models reveals that the building footprints are larger in the DTK-25, and building heights are lower with a mean absolute error of 3.21 m. Both factors influence the building volume, which is linearly lower than the reference. However, this error does not affect the classification of UMC, which can be classified with accuracies between 77% and 97%.

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mentioning

confidence: 99%

Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations

Wurm

d’Angelo

Reinartz

et al. 2014

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…A discrete dynamic processing is then used for matching the bright crosses. (Soergel et al, 2009) detects silent lines and points in orthogonal-side images before merging them within a production system. Finally, (Goel et al, 2012), makes use of Bayesian inference for estimating the absolute height of single point scatterers, using at least three same-side images taken under different angles.…”

Section: State-of-the-artmentioning

confidence: 99%

Pixel-based approach for building heights determination by SAR radargrammetry

Dubois

Thiele

Hinz

2013

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

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ABSTRACT:Numerous advances have been made recently in photogrammetry, laser scanning, and remote sensing for the creation of 3D city models. More and more cities are interested in getting 3D city models, be it for urban planning purposes or for supporting public utility companies. In areas often affected by natural disaster, rapid updating of the 3D information may also be useful for helping rescue forces. The high resolutions that can be achieved by the new spaceborne SAR sensor generation enables the analysis of city areas at building level and make those sensors attractive for the extraction of 3D information. Moreover, they present the advantage of weather and sunlight independency, which make them more practicable than optical data, in particular for tasks where rapid response is required. Furthermore, their short revisit time and the possibility of multi-sensor constellation enable providing several acquisitions within a few hours. This opens up the floor for new applications, especially radargrammetric applications, which consider acquisitions taken under different incidence angles. In this paper, we present a new approach for determining building heights, relying only on the radargrammetric analysis of building layover. By taking into account same-side acquisitions, we present the workflow of building height determination. Focus is set on some geometric considerations, pixel-based approach for disparity map calculation, and analysis of the building layover signature for different configurations in order to determine building height. * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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“…Among the several matching methods presented in the literature, one can distinguish between intensity-based (Leberl et al 1994) and feature based (Simonetto et al 2005;Soergel et al 2009) approaches. Here, we tested an intensity-based matching method using maximal normalised cross correlation, often considered to be one of the most accurate matching method.…”

Section: Experimental Analysismentioning

confidence: 99%

Towards Change Detection in Urban Area by Sar Interferometry and Radargrammetry

Dubois

Thiele

Hinz

2013

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Change detection in urban area is an active topic in remote sensing. However, well-dealt subject in optical remote sensing, this research topic is still at an early stage and needs deeper investigations and improvement in what concerns SAR and InSAR remote sensing. Due to their weather and daylight-independency, SAR sensors allow an all-time observation of the earth. This is determining in cases where rapid change detection is required after a natural -or technological -disaster. Due to the high resolution that can be achieved, the new generation of space-borne radar sensors opens up new perspectives for analysing buildings in urban areas. Moreover, due to their short revisiting cycle, they give rise to monitoring and change detection applications. In this paper, we present a concept for change detection in urban area at building level, relying only on SAR-and InSAR data. In this approach, interferometric and radargrammetric SAR data are merged in order to detect changes. Here, we present the overall workflow, the test area, the required data as well as first findings on the best-suited stereo-configurations for change detection.

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Stereo analysis of high-resolution SAR images for building height estimation in cases of orthogonal aspect directions

Cited by 67 publications

References 20 publications

Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations

Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations

Pixel-based approach for building heights determination by SAR radargrammetry

Towards Change Detection in Urban Area by Sar Interferometry and Radargrammetry

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