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Point target tracking in hyperspectral images
L. Varsano,
S. R. Rotman
Faculty of Engineering Sciences
Department of Electrical & Computer Engineering
Research output
:
Contribution to journal
›
Conference article
›
peer-review
8
Scopus citations
Overview
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Dive into the research topics of 'Point target tracking in hyperspectral images'. Together they form a unique fingerprint.
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Keyphrases
Hyperspectral
100%
Point Target Tracking
100%
High Probability
20%
Challenging Tasks
20%
Sub-pixel
20%
Specific Properties
20%
Staring
20%
Filter Method
20%
Target Characteristics
20%
Target Detection
20%
Image Sequence
20%
Detection Probability
20%
Real Image
20%
Tracking Applications
20%
Target Tracking
20%
Acquisition Algorithm
20%
Low False Alarm Rate
20%
Two Dimensional Images
20%
Matched Filter
20%
Image Transformation
20%
Image Form
20%
Moving Point Target
20%
Point Target Detection
20%
Temporal Profile
20%
Variance Filter
20%
Time-domain Processing
20%
Target Behavior
20%
Filter-based Algorithm
20%
Space Surveillance
20%
Missile Tracking
20%
Engineering
Target Tracking
100%
Hyperspectral Image
100%
Point Target
100%
Moving Target
40%
Tasks
20%
Two Dimensional
20%
Moving Point
20%
Probability of Detection
20%
Time Domain Processing
20%
Dimensional Image
20%
Real Image
20%
False Alarm Rate
20%
Image Sequence
20%
Image Transformation
20%
Space Surveillance
20%