DEM Registration and Error Analysis using ASCII values

05/30/2014
by   Suma Dawn, et al.
0

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 sub-graph matching. Error analysis for the same has also been done.

READ FULL TEXT
research
05/09/2014

Cognitive-mapping and contextual pyramid based Digital Elevation Model Registration and its effective storage using fractal based compression

Digital Elevation models (DEM) are images having terrain information emb...
research
04/28/2023

Inverse Consistency by Construction for Multistep Deep Registration

Inverse consistency is a desirable property for image registration. We p...
research
08/10/2023

2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds

The commonly adopted detect-then-match approach to registration finds di...
research
02/27/2022

A Robust Multimodal Remote Sensing Image Registration Method and System Using Steerable Filters with First- and Second-order Gradients

Co-registration of multimodal remote sensing images is still an ongoing ...
research
08/21/2019

Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery

In image-guided neurosurgery, deformable registration currently is not a...
research
12/14/2020

Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration

Matching articulated shapes represented by voxel-sets reduces to maximal...
research
05/17/2018

Automatic Data Registration of Geostationary Payloads for Meteorological Applications at ISRO

The launch of KALPANA-1 satellite in the year 2002 heralded the establis...

Please sign up or login with your details

Forgot password? Click here to reset