Cognitive-mapping and contextual pyramid based Digital Elevation Model Registration and its effective storage using fractal based compression
Suma Dawn, Vikas Saxena, Bhudev Sharma

TL;DR
This paper introduces a novel DEM registration method combining cognitive mapping, contextual pyramid formation, and fractal compression, demonstrating effective registration and storage of terrain data.
Contribution
It presents an integrated approach using landmark-based cognitive mapping and fractal compression for improved DEM registration and storage.
Findings
Effective DEM registration achieved with landmark and contextual pyramid methods.
Fractal compression enables efficient storage of co-registered DEMs.
Method shows promising results for terrain data alignment and compression.
Abstract
Digital Elevation models (DEM) are images having terrain information embedded into them. Using cognitive mapping concepts for DEM registration, has evolved from this basic idea of using the mapping between the space to objects and defining their relationships to form the basic landmarks that need to be marked, stored and manipulated in and about the environment or other candidate environments, namely, in our case, the DEMs. The progressive two-level encapsulation of methods of geo-spatial cognition includes landmark knowledge and layout knowledge and can be useful for DEM registration. Space-based approach, that emphasizes on explicit extent of the environment under consideration, and object-based approach, that emphasizes on the relationships between objects in the local environment being the two paradigms of cognitive mapping can be methodically integrated in this three-architecture…
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Taxonomy
TopicsImage Retrieval and Classification Techniques · Image Processing and 3D Reconstruction · Advanced Image and Video Retrieval Techniques
