CMRT09

Stilla, Uwe

Bibliographic data

Monograph

Persistent identifier:: 856955019

Author:: Stilla, Uwe

Title:: CMRT09

Sub title:: object extraction for 3D city models, road databases, and traffic monitoring ; concepts, algorithms and evaluation ; Paris, France, September 3 - 4, 2009 ; [joint conference of ISPRS working groups III/4 and III/5]

Scope:: X, 234 Seiten

Year of publication:: 2009

Place of publication:: Lemmer

Publisher of the original:: GITC

Identifier (digital):: 856955019

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: A PROOF OF CONCEPT OF ITERATIVE DSM IMPROVEMENT THROUGH SAR SCENE SIMULATION D. Derauw

Document type:: Monograph

Structure type:: Chapter

CMRT09: Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms, and Evaluation 126 Figure 11 shows in parallel, the seed DSM computed in ground range along with the improved one obtained after 25 iterations. Figure 11 : Seed and improved DSM While the simulated SAR scene is clearly improved after 25 iterations, improvement is less evident observing the obtained DSM. Figure 12 represents a DSM sample line, in ground range, before and after improvement. Globally, we observe that the modified DSM appears less noisy and more structured. At this stage, it is difficult to assert if the reached structure is a correct representation of the observed scene and if it can be used in man-made structure detection or identification. But, we can conclude that the achieved structure, together with the proposed model and the used parameter set, allows simulating a SAR intensity image close to the really detected one. Figure 11: DSM sample line before (green) and after (blue) improvement Obtaining a DSM representation closer to the observed one will require testing the influence of all parameters as also improving our simplistic model. But, the main point is that we performed a proof of concept of the proposed principle: “Iterative DSM improvement through SAR scene simulation and comparison with observed one”. Since the proposed method is global and does not require any a priori knowledge on buildings shapes and orientation, it can be envisioned as a first improvement of the DSM to be used in more sophisticated and context-based man-made structure detection techniques. Nevertheless, if stable, the reached simulated SAR intensity image stays, for the moment, still far from the really detected SAR intensity image. We have well concentrated the energy where it should, but still not with the degree of details offered by the real data. One must thus keep in mind that the obtained improved DSM is just one possible representation of the observed scene. Other representations are possible provided simulation model and set of parameters that are used are optimized 6. CONCLUSIONS We developed the tools required for simulating a SAR intensity image in slant range geometry starting from a seed DSM given in ground range and issued from InSAR processing. Our objective was first to perform a proof of concept, showing that in its principle, it is possible to perform an iterative improvement of a seed DSM by simulation of SAR intensity image in slant range - azimuth projection and comparison with the corresponding detected one. Therefore, we developed a simplistic model allowing to associate a backscattered energy to ground range - azimuth resolution cells with respect to local heights. Effort was principally put on the reliability and accuracy of back and forth referencing and projection processes. Clearly, the proof of concept is performed: comparing simulated and detected backscattered energy in slant range allows correcting iteratively the underlying DSM. The process converges monotonically toward a DSM structure that is thus one possible representation of the observed scene. Monotonic convergence shows that the obtained solution is stable and is, in itself, the result that had to be obtained to validate the proposed iterative process. Complementary analysis must be performed to assess if the derived DSM can efficiently be used for man-made structures detection. 7. REFERENCES Balz T, Haala N. (2003), SAR-based 3D reconstruction of complex urban environments, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 34, Part 3/W13, pp. 181-185 Balz, T (2006), Automated CAD model-based geo-referencing for high-resolution SAR data in urban environments. Radar, Sonar and Navigation, IEE Proceedings - Vol. 153(3), June 2006, pp. 289-293 Bamler. R and Schattier B. (1993), SAR data acquisition and image formation. In: Schreier G. (ed.) SAR geocoding: data and systems.. Wichmann, Karlsruhe, pp. 53-101. Dupuis X., Dupas J., Oriot H. (2000) 3D extraction from interferometric high resolution SAR images using the RAMSES sensor, PROC. 3rd European Symposium on Synthetic Aperture Radar, EUSAR'2000, München (Germany), VDE, pp. 505-507 Soerger U., Thoennessen U., Stilla U. (2003), Reconstruction of buildings from inteiferometric SAR data of built-up areas. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 34, Part 3AVI3, pp. 59- 64 Thiele, A.; Cadario, E.; Schulz, K.; Thonnessen, U.; Soergel, U (2007), Building Recognition From Multi-Aspect High- Resolution InSAR Data in Urban Areas, IEEE Transactions on Geoscience and Remote Sensing, 45(11), pp. 3583 - 3593 Tison C., Tupin F., Maitre H. (2007), A fusion scheme for joint retrieval of urban height map and classification from high- resolution inteiferometric SAR images, IEEE Tranactions on Geosciences and Remote Sensing,, vol. 45(2), pp. 496-50

Access restriction

Copyright

fullscreen: CMRT09

Monograph

Chapter

Table of contents

Cite and reuse

Monograph

Chapter

Image

Image fragment

Citation links

Citation recommendation