DEM Registration and Error Analysis using ASCII values
Suma Dawn, Vikas Saxena, and Bhu Dev Sharma

TL;DR
This paper proposes a novel DEM registration method using ASCII-converted height control points, offering an alternative to traditional techniques with detailed error analysis.
Contribution
It introduces a new DEM registration approach utilizing ASCII height data and control points, addressing limitations of existing methods in error evaluation and complexity.
Findings
Effective registration using ASCII control points demonstrated.
Error analysis provides insights into accuracy and reliability.
Method reduces complexity compared to traditional techniques.
Abstract
Digital Elevation Model (DEM), while providing a bare earth look, is heavily used in many applications including construction modeling, visualization, and GIS. Their registration techniques have not been explored much. Methods like Coarse-to-fine or pyramid making are common in DEM-to-image or DEM-to-map registration. Self-consistency measure is used to detect any change in terrain elevation and hence was used for DEM-to-DEM registration. But these methods apart from being time and complexity intensive, lack in error matrix evaluation. This paper gives a method of registration of DEMs using specified height values as control points by initially converting these DEMs to ASCII files. These control points may be found by two mannerisms - either by direct detection of appropriate height data in ASCII files or by edge matching along congruous quadrangle of the control point, followed by…
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Taxonomy
TopicsRobotics and Sensor-Based Localization · Remote Sensing and LiDAR Applications · 3D Surveying and Cultural Heritage
