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A parametric estimation approach to instantaneous spectral imaging
Figen S. Oktem
,
Farzad Kamalabadi
, Joseph M. Davila
Electrical and Computer Engineering
Statistics
Coordinated Science Lab
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peer-review
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Keyphrases
Spectral Imaging
100%
Estimation Approaches
100%
Parametric Estimation
100%
Imaging Techniques
50%
Physical Parameters
50%
Inverse Problem
33%
Dynamic Scene
33%
Three-dimensional Data
16%
Dynamic Programming Algorithm
16%
Estimation Problem
16%
Simultaneous Imaging
16%
Intrinsic Limits
16%
Nonconvex
16%
Global Optimum
16%
Numerical Simulation Results
16%
Order of Accuracy
16%
Multi-frame
16%
Diagnostic Techniques
16%
Physical Science
16%
Maximum a Posteriori Estimation
16%
Deblurring
16%
Parametric Model
16%
Maximum a Posteriori
16%
Two-dimensional Detector
16%
Added Benefit
16%
Non-scanning
16%
Two-dimensional Fields
16%
Spatial Scanning
16%
Spectral Scanning
16%
Shift-variant Blur
16%
Statistical Knowledge
16%
Scanning Process
16%
Semi-blind
16%
Space Remote Sensing
16%
Mathematics
Parametric
100%
Global Optimum
100%
Estimation Approach
100%
Posteriori
100%
Parametric Model
100%
Maximum a posteriori estimation
100%
Physical Science
100%
Widespread Application
100%
Dimensional Data
100%
Engineering
Physical Parameter
100%
Parametric Estimation
100%
Two Dimensional
66%
Maximum a Posteriori
66%
Simulation Result
33%
Dimensional Data
33%
Dynamic Programming
33%
Global Optimum
33%
Scanning Process
33%
Computer Science
Spectral Imaging
100%
Physical Parameter
50%
Inverse Problem
33%
Dynamic Programming Algorithm
16%
Parametric Model
16%
Numerical Simulation
16%
Dimensional Field
16%
Widespread Application
16%
Physical Science
16%
Dimensional Data
16%
Earth and Planetary Sciences
Imaging Technique
100%
Inverse Problem
66%
State of the Art
33%
Field of View
33%
Dynamic Programming
33%
Remote Sensing
33%
Physics
Imaging Technique
100%
Field of View
33%