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

Ratika Pradhan | Zendy; M. K. Ghose | Zendy; A. Jeyaram | Zendy

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

Author(s) -

Ratika Pradhan,

M. K. Ghose,

A. Jeyaram

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/1296-1786

Subject(s) - computer science , digital elevation model , shading , satellite imagery , elevation (ballistics) , satellite , remote sensing , photometric stereo , extraction (chemistry) , resolution (logic) , artificial intelligence , computer vision , computer graphics (images) , geology , image (mathematics) , geometry , mathematics , aerospace engineering , engineering , chemistry , chromatography

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.

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