Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

baltsavias, emmanuel p.

Bibliographic data

Monograph

Persistent identifier:: 856473650

Author:: Baltsavias, Emmanuel P.

Title:: Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

Sub title:: Joint ISPRS/EARSeL Workshop ; 3 - 4 June 1999, Valladolid, Spain

Scope:: III, 209 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856473650

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:: TECHNICAL SESSION 4 FUSION OF SENSOR-DERIVED PRODUCTS

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: STRATEGIES AND METHODS FOR THE FUSION OF DIGITAL ELEVATION MODELS FROM OPTICAL AND SAR DATA. M. Honikel

Document type:: Monograph

Structure type:: Chapter

International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 89 The procedure needs no additional or reference data, as all input data comes from the generation processes and the DEMs themselves and can be obtained from common DEM generation software. This enables the operational implementation of the procedure and paves the way for a wide range of remote sensing applications needing accurate and reliable DEM information. The fused DEM can be reintroduced as a reference in the generation processes of the InSAR and stereo DEM, in order to increase their accuracy. This is of special interest for the InSAR phase flattening or coherence estimation, which is needed for the SAR retrieval of several bio- and geophysical parameters. ACKNOWLEDGEMENTS The work is a result of our studies within the EU ORFEAS project. The project was carried out in multi-national co operation with University of Thessaloniki, Politechnico di Milano, TU Graz, ETH Zurich, and Cartographic Institute of Catalonia, which provided a very complete dataset of the south- central part of Catalonia. I also want to thank Mr. Markus Niederost, IGP, ETH Zurich and especially Ms. Kirsten Wolff, Institute for Photogrammetry, University of Bonn, for their useful hints and discussions. REFERENCES Baarda, W., 1967. Statistical Concepts in Geodesy. Netherlands Geodetic Commission, Publications on Geodesy, 2(4), Delft, The Netherlands. Baltsavias, E. P., Stallmann, D., 1993. SPOT Stereo Matching for Digital Terrain Model Generation. In Proc. 2 nd Swiss Symposium "Pattern Recognition and Computer Vision", pp. 61 -72. Ghiglia, D., Romero, L., 1994. Robust Two-Dimensional Weighted and Unweighted Phase Unwrapping that Uses Fast Transforms and Iterative Methods. J. Opt. Soc. Amer. A, Vol. 11, No. 1, pp.107-117. Goldstein, R., Zebker, H., Werner C., 1988. Satellite Radar Interferometry: Two dimensional phase unwrapping. Radio Sei., Vol. 23, No. 4, pp. 713-720. Grün, A., 1986. Photogrammetrische Punktbestimmung mit der Bündelmethode. Institut für Geodäsie und Photogrammetrie, ETH Zürich, Mitteilungen Nr. 40, Zurich, Switzerland. Honikel, M., 1998. Fusion of Optical and Radar Digital Elevation Models in the Spatial Frequency Domain. Proceedings of the 2 nd Int. Workshop on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, 21-23 October, Noordwijk, The Netherlands, pp. 537-543. Leica Helava, 1997. SOCET SET, Windows NT/UNIX User Manual, Release 4.0, pp. F-l-4. Patias, P. (Ed.), 1998. ORFEAS, Optical Radar Sensor Fusion for Environmental Applications. EU Final Project Report, Contract No. ENV4-CT95-0150, pp. 132-135. Prati, C., Rocca, F., Monti-Guamieri, A., Pasquali, P., 1994. ERS-1 Interferometric Techniques and Applications. ISPRS Proceedings of Symp. "Primary Data Acquisition and Evaluation". In IAPRS, 30(1), pp. 123-126. Small, D., Werner, C., Nüesch, D., 1995. Geocoding and Validation of ERS-1 InSAR-Derived Digital Elevation Models. EARSel Advances in Remote Sensing, 4(2), pp. 26-39 and I-II. Werner, C., 1992. Techniques and Applications of SAR Interferometry for ERS-1: Topographic Mapping, Change Detection and Slope Measurement. Proceedings of the 1st ERS- 1 Symposium "Space at the Service of our Environment", pp. 205-210. Zebker, H., Werner, C., Rosen, P., 1994. Accuracy of Topographic Maps Derived from ERS-1 Interferometric Radar. IEEE Transactions on Geoscience and Remote Sensing, 32(4), pp. 823-836. Zebker, H., Lu, Y.P., 1998. Phase Unwrapping Algorithms for Radar Interferometry: Residue Cut, Least Squares and Synthesis Algorithms. Jour. Opt. Soc. Am., 15, pp. 586-598.

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