Feature Extraction Assessment Study.
Abstract
The purpose of the feature extraction assessment study (FEAS) is to assess the degree to which the DMA feature extraction process can be automated by 1985. The major conclusion of the study is that given the state-of-the-art in image understanding and pattern recognition, a fully automated system for extracting DMA features cannot be built by 1985 using either conventional black and white or multi-spectral/multi-source imagery. Based on an assessment of feature extraction processes operating solely on black and white imagery, a concept of operation for a semi-automated system is formulated, however, which involves the use of machine vision techniques to support the image analyst in a synergistic fashion. An assessment of multi-spectral and multi-source (MS/MS) imagery is also performed to determine if its use would benefit the feature extraction process. Originaor-supplied key words include: Cartographic feature extraction, Image processing, Pattern recognition, Image analysis, and Remote sensing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1984
- Accession Number
- ADA150189
Entities
People
- G. K. Wallace
- M. J. Carlotto
- V. T. Tom
Organizations
- TASC, Inc