CFP last date
20 January 2025
Reseach Article

Article:Extraction of Depth Elevation Model (DEM) from High Resolution Satellite Imagery Using Shape from Shading Approach

by Ratika Pradhan, M. K. Ghose, A. Jeyaram
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 12
Year of Publication: 2010
Authors: Ratika Pradhan, M. K. Ghose, A. Jeyaram
10.5120/1296-1786

Ratika Pradhan, M. K. Ghose, A. Jeyaram . Article:Extraction of Depth Elevation Model (DEM) from High Resolution Satellite Imagery Using Shape from Shading Approach. International Journal of Computer Applications. 7, 12 ( October 2010), 40-46. DOI=10.5120/1296-1786

@article{ 10.5120/1296-1786,
author = { Ratika Pradhan, M. K. Ghose, A. Jeyaram },
title = { Article:Extraction of Depth Elevation Model (DEM) from High Resolution Satellite Imagery Using Shape from Shading Approach },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 7 },
number = { 12 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number12/1296-1786/ },
doi = { 10.5120/1296-1786 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:09.566847+05:30
%A Ratika Pradhan
%A M. K. Ghose
%A A. Jeyaram
%T Article:Extraction of Depth Elevation Model (DEM) from High Resolution Satellite Imagery Using Shape from Shading Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 12
%P 40-46
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Shading information in satellite imagery will give user an immediate appreciation for the surface topography. In this paper, an attempt has been made to reconstruct 3D shape or Depth elevation model (DEM) of satellite imagery using Shape from Shading approach. Three widely used shape from shading algorithms – Pentland’s Linear approach, Lee and Rosenfeld’s approach and Horn’s approach were used to recover shape of the satellite imagery and the result were compared. Each of this approaches were modified to get the better result.

References
  1. Ping, X., "Digital Elevation Model Extraction from Aster In support of the Coal fire and environmental research project, China", M. Sc. Thesis, ITC, 21pp, 2003.
  2. Meijerink, A. M. J., De Brouwer, H. A. M., Mannaerts, C. M. & Valenzuela, C., “Introduction to the Use of Geographic Information Systemsfor Practical Hydrology”, UNESCO, Div. ofWaterSciences/ITCPubl. no. 23. ITC, Enschede, The Netherlands.
  3. Ruo Zhang, Ping-Sing Tsai, James Edwin Cryer, Mubarak Shah, “Shape from Shading: A Survey”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 8, pp 690-706, 1999.
  4. K. Ikeuchi and B.K.P. Horn, "Numerical shape from shading and occluding boundaries", Artificial Intelligence, Vol. 17, No. 1-3, pp. 141-184, 1981.
  5. M. J. Brooks and B. K. P. Horn, "Shape and source from shading", in proceedings of International Joint Conference on Artificial Intelligence, pp. 932-936, 1985.
  6. R. T. Frankot and R. Chellappa, "A method for enforcing integrability in shape from shading algorithms", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 10, pp. 439-451, 1988.
  7. B. K. P. Horn, "Shape from Shading: A Method for Obtaining the Shape of a Smooth Opaque Object from One View", PhD thesis, MIT, 1970.
  8. B. K. P. Horn, "Height and gradient from shading", International Journal of Computer Vision, pp. 37-75, 1989.
  9. M. Bichsel and A. P. Pentland, "A simple algorithm for shape from shading", IEEE Proceedings of Computer Vision and Pattern Recognition, pp. 459-465, 1992.
  10. C.H. Lee and A. Rosenfeld, "Improved methods of estimating shape from shading using the light source coordinate system", Artificial Intelligence, Vol. 26, pp. 125-143, 1985.
  11. A. P. Pentland, "Local shading analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 6, pp. 170-187, 1984.
  12. A. Pentland, "Shape information from shading: a theory about human perception", in proceedings of International Conference on Computer Vision, pp. 404-413, 1988.
  13. P.S. Tsai and M. Shah, "Shape from shading using linear approximation", Image and Vision Computing Journal, Vol. 12, No.8, pp. 487-498, 1994.
  14. Hind Taud, Jean-Francious Parrot and Roman Alvarez, " DEM generation by contour line dilation", Computers and Geosicences, Vol. 25, No. 7, pp 775-783, 1999.
  15. Prima Oky Dicky Ardiansyah and Ryuzo Yokoy, "DEM generation method from contour lines based on the steepest slope segment chain and a monotone interpolation function", ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 57, No. 1-2, 2002, pp 86-101.
  16. Luuk Spreeuwers and Zweitze Houkes, "The construction of DEM's using aerial vedio images sequences", International Archieves of Photogrammetry and Remote Sensing, Vol. 31, No. 34, 1996.
  17. Jauregui M., Vilchez J., Chacon L., 2000, Digital Orthophoto Generation. In: IAPRS, (XIXth Congress of ISPRS), Vol. 33, Part B4, Amsterdam, Netherlands, pp. 400-407.
Index Terms

Computer Science
Information Sciences

Keywords

Depth Elevation Mode (DEM) Shape from Shading (SFS) Geographical Information System(GIS) Pixel distance