Home Articles Optimization of DTM Interpolation Using Shape FromShading with Single Radar Imagery

Optimization of DTM Interpolation Using Shape FromShading with Single Radar Imagery

Abstract
M. Mansourpour
Dept. of Geomatics Eng., University of Tehran, Tehran, Iran,
Iran
Email: [email protected]

M.A. Rajabi
Dept. of Geomatics Eng.
University of Tehran
Tehran
Ira
Email: [email protected]

J.A.R. Blais
Dept. of Geomatics Eng.
University of Calgary
Calgary
Alberta
Canda
Email: [email protected]

Digital terrain models (DTMs) in the present context are simply regular grids of elevation measurements over the land surface. DTMs are mainly extracted by applying the technique of stereo measurements to images available from aerial photography and/or remote sensing. Enormous amounts of local and global DTM data with different specifications are now available. However, numerous geoscience and engineering applications need denser and more accurate DTM data. Collecting additional height data in the field, if not impossible, is either expensive or time consuming or both. Stereo aerial or satellite imagery is often unavailable and very expensive to acquire. Interpolation techniques are fast and cheap, but have their own inherent difficulties and problems, especially in rough terrain. Advanced space technology has provided much single (if not stereo) high-resolution satellite images almost worldwide. Besides, shape from shading (SFS) is one of the methods to derive the geometric information about the objects from the analysis of the monocular images. After 1960’s when radar sensors were used in civil applications and with the availability of Synthetic Aperture Radar (SAR), researchers found a new data source which has different capabilities. Among other common techniques, radarclinometry uses single imageries and SFS technique for elevation extraction. This paper discusses the idea of using SFS with single Radar imagery to optimize the interpolation techniques used in densifying regular grids of heights.