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Automated adaptation for ATR algorithms
Peter F. Symosek
,
Michael E. Bazakos
Research output
:
Contribution to journal
›
Conference article
›
peer-review
Overview
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Dive into the research topics of 'Automated adaptation for ATR algorithms'. Together they form a unique fingerprint.
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Keyphrases
Automatic Target Recognition
100%
Target Recognition Algorithm
100%
Automated Adaptation
100%
Honeywell
40%
Parameter Values
40%
Algorithm Parameters
40%
Multispectral Image
20%
Performance Improvement
20%
Algorithm Performance
20%
Spectral Features
20%
Hill Climbing
20%
Traditional Algorithm
20%
Coastal Systems
20%
Feature Map
20%
Airborne Platform
20%
Background Contrast
20%
Image Quality Metrics
20%
United States Marine Corps
20%
Innovative Approaches
20%
Image Processing Algorithm
20%
Large Gradients
20%
Target Discrimination
20%
Metric Parameters
20%
Algorithm Robustness
20%
Target Detection Technology
20%
Computer Science
Recognition Algorithm
100%
Automatic Target Recognition
100%
Parameter Value
40%
Algorithm Performance
20%
Baseline Approach
20%
Experimental Result
20%
Spectral Feature
20%
Multispectral Image
20%
Feature Map
20%
United States of America
20%
Earth and Planetary Sciences
United States of America
100%
Multispectral Image
100%
Command Guidance
100%