Conditional Estimation of Vector Patterns in Remote Sensing and GIS
Abstract
Within this project report we address specific programming requirements for the adaptation of C, C++, and JAVA computer code into a working format for Corps of Engineers modeling in water control, water quality, and emergency response. This effort is cooperatively conducted with the professional researchers at the Remote Sensing GIS Center of the US Army Cold Regions Research and Engineering Laboratory in Hanover, New Hampshire. The goal of this effort is to program and implement vector algorithms required for linear mapping of terrain features. This work is required to allow Corps researchers to use existing vector modeling technologies with preemptive use of a search algorithm that splits a single polygon into multiple lines, arcs, and notes. In earlier efforts, algorithms have been provided by CCSOM/Applied Logic Laboratory to map raster data into optimal polygon topography. In this effort, algorithms are provided for polygon decomposition. In effect, it is a method for dissecting polygons into constitutive elements that more accurately reflect the pattern or feature. Example applications include long linear features whose width is the minor measurement, and whose length is the primary element. More explicit examples for Corps applications include: weirs, locks, dams, roads, and facilities management. This report is primarily in the form of documented computer code required to address this decomposition problem.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 15, 1999
- Accession Number
- ADA368667
Entities
People
- J. M. F. Masuch
Organizations
- University of Amsterdam