Full bibliography
Application of neural networks to pattern recognition problems in remote sensing and medical imagery
Resource type
Authors/contributors
- Parikh, Jo Ann (Author)
- DaPonte, John S. (Author)
- Damodaran, Meledath (Author)
- Sherman, Porter (Author)
Title
Application of neural networks to pattern recognition problems in remote sensing and medical imagery
Abstract
The primary objective of this research is the development and testing of neural network models for two fundamental computer vision tasks: edge/line detection and texture analysis. In order to test the ability of the neural network models to detect patterns in images we used both remote sensing data and medical imagery. Neural network models for edge and line detection were used to detect geological lineaments in Landsat data. Neural network models for the analysis of image texture variations were used on ultrasonic images to distinguish patients with normal liver scans from patients with diffuse liver disease. 1.
Proceedings Title
Applications of Artificial Neural Networks
Conference Name
Applications of Artificial Neural Networks
Publisher
International Society for Optics and Photonics
Place
Bellingham, WA, United States
Date
1990/08/01
Volume
1294
Pages
146-160
DOI
ISBN
0277786X (ISSN); 0819403458 (ISBN)
Citation Key
parikhApplicationNeuralNetworks1990
Accessed
12/13/19, 8:19 PM
Language
English
Library Catalog
Extra
0 citations (Crossref) [2023-10-31]
Citation Key Alias: lens.org/084-347-075-228-270, pop00116
Citation
Parikh, J. A., DaPonte, J. S., Damodaran, M., & Sherman, P. (1990). Application of neural networks to pattern recognition problems in remote sensing and medical imagery. Applications of Artificial Neural Networks, 1294, 146–160. https://doi.org/10.1117/12.21165
Link to this record