Fusion of digital elevation models using sparse representations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6952 LNCS, Issue , 2011, Pages 171-184

  Papasaika, Haris ^a   Kokiopoulou, Effrosyni ^a   Baltsavias, Emmanuel ^a   Schindler, Konrad ^a   Kressner, Daniel ^b  

^a ETH ZURICH   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

DEMs; fusion; learning; quality evaluation

Indexed keywords

ALGORITHMIC APPROACH; DEMS; DIGITAL ELEVATION MODEL; EARTH OBSERVATION SATELLITES; GEOMETRIC CHARACTERISTICS; LEARNING; PROCESSING CHAIN; PROCESSING TECHNIQUE; QUALITY EVALUATION; SPARSE REPRESENTATION;

ALGORITHMS; DIGITAL INSTRUMENTS; GEOMORPHOLOGY; IMAGE ANALYSIS; PHOTOGRAMMETRY; QUALITY CONTROL; TECHNOLOGY TRANSFER;

SURVEYING;

EID: 80054022130     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24393-6_15     Document Type: Conference Paper

References (16)

1. Damon, J.: Fusing Lidar and IfSAR DEMs: a seven-step methodology. In: 22nd ESRI International Conference (2002)
2. Elad, M., Aharon, M.: Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans. on Image Processing 15(12), 3736-3745 (2006)
3. Elad, M.: Michael Elad personal webpage, software (2011), http://www.cs.technion.ac.il/~elad/software/
4. Gamba, P., Dell'acqua, F., Houshmand, B.: Comparison and fusion of Lidar and In-SAR digital elevation models over urban areas. International Journal of Remote Sensing 24(22), 4289-4300 (2003)
5. Gruen, A., Akca, D.: Least squares 3D surface and curve matching. ISPRS Journal of Photogrammetry & Remote Sensing 59(3), 151-174 (2005)
6. Honikel, M.: Strategies and methods for the fusion of digital elevation models from optical and SAR data. International Archives of Photogrammetry and Remote Sensing 32(7-4-3W6), 83-89 (1999)
7. Horn, B.: Hill shading and the reflectance map. Proceedings of the IEEE 69(1), 14-47 (1981)
8. Kääb, A.: Combination of SRTM3 and repeat ASTER data for deriving alpine glacier flow velocities in the Bhutan Himalaya. Remote Sensing of Environment 94(4), 463-474 (2005)
9. Mallat, S.: A Wavelet Tour of Signal Processing, 2nd edn. Academic Press, London (1998)
10. Podobnikar, T.: Production of integrated digital terrain model from multiple datasets of different quality. International Journal of Geographical Information Science 19(1), 69-89 (2005)
11. Rao, Y.S., Rao, K.S., Venkataraman, G., Khare, M., Reddy, C.: Comparison and fusion of DEMs derived from InSAR and optical stereo techniques. In: Third ESA International Workshop on ERS SAR Interferometry (2003)
12. Roth, A., Knöpfle,W., Strunz, G., Lehner, M., Reinartz, P.: Towards a global elevation product: combination of multi-source digital elevation models. In: Joint International Symposium on Geospatial Theory, Processing and Applications (2002)
13. Schultz, H., Riseman, E.M., Stolle, F.R., Woo, D.-M.: Error detection and DEM fusion using self-consistency. In: International Conference on Computer Vision (1999)
14. Slatton, K., Teng, S., Crawford, M.: Multiscale fusion of InSAR data for hydrological applications. In: Symposium on Terrain Analysis for Water Resources Applications (2002)
15. Tibshirani, R.: Regression shrinkage and selection via the lasso. J. Royal. Statist. Soc B. 58(1), 267-288 (1996)
16. Yang, J., Wright, J., Huang, T.S., Ma, Y.: Image super-resolution as sparse representation of raw image patches. In: IEEE Conf. on Computer Vision and Pattern Recognition (2008)