A Detailed Study About Digital Surface Model Generation Using High Resolution Satellite Stereo Imagery

Gong, K.; Fritsch, D.

doi:10.5194/isprsannals-iii-1-69-2016

Cited by 12 publications

(8 citation statements)

References 8 publications

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“…Grodecki and Dial (2003) proposed the bias-compensated RPCs bundle block adjustment. Many researchers applied this RPC based bundle block adjustment for the orientation (d 'Angelo and Kuschk, 2012;Ozcanlil et al, 2015;Gong and Fritsch, 2016). The bundle block adjustment needs sufficient tie points and ground control points (GCP).…”

Section: Related Workmentioning

confidence: 99%

“…With the satellite epipolar pairs, the semi-global matching (SGM) like algorithm is the most popular solution for the dense image matching problem. Many researches have proved that SGM can provide good quality dense point clouds and DSMs from satellite data (d 'Angelo and Reinartz, 2011;Wohlfeil, et al, 2012;d'Angelo and Kuschk, 2012;Gong and Fritsch, 2016).…”

Section: Related Workmentioning

confidence: 99%

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Point Cloud and Digital Surface Model Generation From High Resolution Multiple View Stereo Satellite Imagery

Gong

Fritsch

2018

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

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ABSTRACT:Nowadays, multiple-view stereo satellite imagery has become a valuable data source for digital surface model generation and 3D reconstruction. In 2016, a well-organized multiple view stereo publicly benchmark for commercial satellite imagery has been released by the John Hopkins University Applied Physics Laboratory, USA. This benchmark motivates us to explore the method that can generate accurate digital surface models from a large number of high resolution satellite images. In this paper, we propose a pipeline for processing the benchmark data to digital surface models. As a pre-procedure, we filter all the possible image pairs according to the incidence angle and capture date. With the selected image pairs, the relative bias-compensated model is applied for relative orientation. After the epipolar image pairs' generation, dense image matching and triangulation, the 3D point clouds and DSMs are acquired. The DSMs are aligned to a quasi-ground plane by the relative bias-compensated model. We apply the median filter to generate the fused point cloud and DSM. By comparing with the reference LiDAR DSM, the accuracy, the completeness and the robustness are evaluated. The results show, that the point cloud reconstructs the surface with small structures and the fused DSM generated by our pipeline is accurate and robust.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Point Cloud and Digital Surface Model Generation From High Resolution Multiple View Stereo Satellite Imagery

Gong

Fritsch

2018

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

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“…However, for the images with poor quality, considering that there is no consideration of spatial correlation, the generated DSM may still contain some outliers. And as Gong and Fritsch (2016) point out that merging of DSMs from multiple stereopairs can effectively remove outliers and further improve the quality of DSM generated by the SGM algorithm. Thus, based on the DSMs from multiple stereopairs generated by SGM, an automatic semi-global merging algorithm is proposed to obtain a more consistent and accurate DSM in this paper.…”

Section: Introductionmentioning

confidence: 99%

Semi – Global Merging of Digital Surface Models From Multiple Stereopairs

Pang

Zhang

et al. 2017

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

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ABSTRACT:The semi-global optimization algorithm, which approximates a global 2D smoothness constraint by combining several 1D constraints, has been widely used in the field of image dense matching for digital surface model (DSM) generation. However, due to occlusion, shadow and textureless area of the matching images, some inconsistency may exist in the overlapping areas of different DSMs. To address this problem, based on the DSMs generated by semi-global matching from multiple stereopairs, a novel semiglobal merging algorithm is proposed to generate a reliable and consistent DSM in this paper. Two datasets, each covering 1km 2 , are used to validate the proposed method. Experimental results show that the optimal DSM after merging can effectively eliminate the inconsistency and reduce redundancy in the overlapping areas.

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“…At present, as a matter of fact, there is a huge literature about the DSMs generation from high resolution optical satellite imagery (Habib et al 2004;Jacobsen 2006;Toutin 2006aToutin , 2006bZhang and Gruen 2006;Büyüksalih and Jacobsen 2007;Alobeid and Jacobsen 2008;d'Angelo et al 2008;Crespi et al 2010;Capaldo, Crespi, Fratarcangeli, Nascetti, and Pieralice 2012;Dowman et al 2012;Aguilar et al 2014;Reinartz et al 2014;Gong and Fritsch 2016;Ghuffar 2016, etc. ), and for some years there are different commercial and scientific software able to process high resolution satellite optical imagery and to generate DSMs, amongst which the well known PCIGeomatica, ENVI (software, as PCI-Geomatica and SAT-PP), and SAT-PP.…”

Section: Introductionmentioning

confidence: 99%

Open source tool for DSMs generation from high resolution optical satellite imagery: development and testing of an OSSIM plug-in

Rita

Nascetti

Crespi

2017

International Journal of Remote Sensing

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The fully automatic generation of digital surface models (DSMs) is still an open research issue. From recent years, computer vision algorithms have been introduced in photogrammetry in order to exploit their capabilities and efficiency in three-dimensional modelling. In this article, a new tool for fully automatic DSMs generation from high resolution satellite optical imagery is presented. In particular, a new iterative approach in order to obtain the quasi-epipolar images from the original stereopairs has been defined and deployed. This approach is implemented in a new Free and Open Source Software (FOSS) named Digital Automatic Terrain Extractor (DATE) developed at the Geodesy and Geomatics Division, University of Rome 'La Sapienza', and conceived as an Open Source Software Image Map (OSSIM) plug-in. DATE key features include: the epipolarity achievement in the object space, thanks to the images ground projection (Ground quasi-Epipolar Imagery (GrEI)) and the coarse-to-fine pyramidal scheme adopted; the use of computer vision algorithms in order to improve the processing efficiency and make the DSMs generation process fully automatic; the free and open source aspect of the developed code. The implemented plug-in was validated through two optical datasets, GeoEye-1 and the newest Pléiades-high resolution (HR) imagery, on Trento (Northern Italy) test site. The DSMs, generated on the basis of the metadata rational polynomial coefficients only, without any ground control point, are compared to a reference lidar in areas with different land use/land cover and morphology. The results obtained thanks to the developed workflow are good in terms of statistical parameters (root mean square error around 5 m for GeoEye-1 and around 4 m for Pléiades-HR imagery) and comparable with the results obtained through different software by other authors on the same test site, whereas in terms of efficiency DATE outperforms most of the available commercial software. These first achievements indicate good potential for the developed plug-in, which in a very near future will be also upgraded for synthetic aperture radar and tri-stereo optical imagery processing. ARTICLE HISTORY

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A Detailed Study About Digital Surface Model Generation Using High Resolution Satellite Stereo Imagery

Cited by 12 publications

References 8 publications

Point Cloud and Digital Surface Model Generation From High Resolution Multiple View Stereo Satellite Imagery

Point Cloud and Digital Surface Model Generation From High Resolution Multiple View Stereo Satellite Imagery

Semi – Global Merging of Digital Surface Models From Multiple Stereopairs

Open source tool for DSMs generation from high resolution optical satellite imagery: development and testing of an OSSIM plug-in

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