Share Email Print
cover

Proceedings Paper

Nonparametric analysis of LANDSAT maps using neural nets and parallel computers
Author(s): Yehuda Salu; James C. Tilton
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Nearest neighbor approaches and a new neural network, the Binary Diamond, are used for the classification of images of ground pixels obtained by LANDSAT satellite. The performances are evaluated by comparing classifications of a scene in the vicinity of Washington DC. The problem of optimal selection of categories is addressed as a step in the classification process.

Paper Details

Date Published: 1 April 1992
PDF: 10 pages
Proc. SPIE 1623, The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges, (1 April 1992); doi: 10.1117/12.58067
Show Author Affiliations
Yehuda Salu, NASA/Goddard Space Flight Ctr. (United States)
James C. Tilton, NASA/Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 1623:
The 20th AIPR Workshop: Computer Vision Applications: Meeting the Challenges

© SPIE. Terms of Use
Back to Top