Improved methods of estimating shape from shading using the light source coordinate system
Artificial Intelligence
A New Sense for Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Height and gradient from shading
International Journal of Computer Vision
Parametric Shape-from-Shading by Radial Basis Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Optimization of DTM Interpolation Using SFS with Single Satellite Imagery
The Journal of Supercomputing
Spatial enhancement of digital terrain model using shape from shading with single satellite imagery
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
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Numerous geoscience and engineering applications need denser and more accurate Digital Terrain Model (DTM) height 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 imageries almost worldwide. This paper discusses the idea of using Shape From Shading (SFS) methods with single high resolution imagery to densify regular grids of heights. Preliminary results are very encouraging and the methodology is going to be implemented with real satellite imagery and parallel computations.