STRIP TREES: A Hierarchical Representation for Map Features.

Abstract

There is increasing interest in map features such as points, lines and regions both as a pictoral data base for resource management and as an aid to identifying objects in aerial images. Owing to the very large amount of data involved, and the need to perform operations on this data efficiently, the representation of such features is a crucial issue. We describe a hierarchical representation of map features that consists of binary trees with a special datum at each node. This datum is called a strip and the tree that contains such data is called a strip tree. Lower levels in the tree corresponds to finer resolution representations of the map feature. The strip tree structure is a direct consequence of using the method for digitizing lines given by Duda & Hart, 1973; Turner, 1974; Douglas & Peucker, 1973) and retaining all intermediate steps. This representation has several desirable properties. For features which are well-behaved, calculations such as point-membership and intersection can be resolved in 0(logn) where n is the number of feature points. The map features can be efficiently encoded and displayed at various resolutions.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA071124

Entities

People

  • Dana H. Ballard

Organizations

  • University of Rochester

Tags

Communities of Interest

  • C4I
  • Counter IED
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Computational Complexity
  • Computer Science
  • Computers
  • Databases
  • Digital Information
  • Information Systems
  • Maps
  • New York
  • Resource Management
  • Security
  • Trees (Data Structures)

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Geodesy
  • Graph Algorithms and Convex Optimization.