Pattern Classification Techniques Applied to High Resolution, Synthetic Aperture Radar Imagery,
Abstract
This report describes the application of 10 pattern classification techniques to selected samples of high resolution, synthetic aperture radar imagery taken over the Huntsville, Alabama area. Sections of the radar imagery were digitized and stored on a digital disk unit. A Lexidata system 3400 image processor and a Hewlett Packard 1000 computer were used to display the images on a cathode ray tube and to take 100 samples for each of four terrain classes from the imagery. The 400 image samples were then used as training sets to derive the 10 classifiers. Once the classifiers were derived, the training set data were then used as input to the classifiers to see how well each would do in classifying the original training sets.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1986
- Accession Number
- ADA183537
Entities
People
- Pi-fuay Chen
- Richard A. Hevenor
Organizations
- Geospatial Research Laboratory