Binary Programming Models of Spatial Pattern Recognition: Applications in Remote Sensing Image Analysis
Abstract
The major purpose of this investigation was to implement subregion allocation objectives using a network model base on an existing subregion allocation binary programming model (Benabdallah and Wright (B&W), 1990), the ultimate goal being the application of subregion allocation concepts towards the spatial analysis of satellite imagery. The multi-objective aspects of subregion allocation can be accomplished via a network formulation, a formulation vastly simpler in complexity than the binary programming models previously used. Without a network programming package that could maintain integral flows, however, deriving the solution was a tiresome task for the user. Nonetheless, several new concepts and advantages to using networks were discussed and demonstrated to the degree possible. Spatial analysis could benefit from applying a modified version of the B&W model to the pixels of satellite imagery in a way which takes advantage of the inherent contiguity of natural terrain subregions. Trending and forecasting of subregion changes, tasks that rely on acquiring data in a consistent manner image after image, could benefit due to the fact that major spatial characteristics of subregions could be extracted, and minor spatial changes could be removed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1991
- Accession Number
- ADA243797
Entities
People
- Thomas G. Reed
Organizations
- Air Force Institute of Technology