Morse description and geometric encoding of digital elevation maps

Andrés Solé, Vicent Caselles, Guillermo Sapiro, Francisco Arandiga

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Two complementary geometric structures for the topographic representation of an image are developed in this work. The first one computes a description of the Morse-topological structure of the image, while the second one computes a simplified version of its drainage structure. The topographic significance of the Morse and drainage structures of digital elevation maps (DEMs) suggests that they can been used as the basis of an efficient encoding scheme. As an application, we combine this geometric representation with an interpolation algorithm and lossless data compression schemes to develop a compression scheme for DEMs. This algorithm achieves high compression while controlling the maximum error in the decoded elevation map, a property that is necessary for the majority of applications dealing with DEMs. We present the underlying theory and compression results for standard DEM data.

Original languageEnglish (US)
Pages (from-to)1245-1262
Number of pages18
JournalIEEE Transactions on Image Processing
Volume13
Issue number9
DOIs
StatePublished - Sep 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

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