Title
Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters.
Abstract
Target detection of potential threats at night can be deployed on a costly infrared focal plane array with high resolution. Due to the compressibility of infrared image patches, the high resolution requirement could be reduced with target detection capability preserved. For this reason, a compressive midwave infrared imager (MWIR) with a low-resolution focal plane array has been developed. As the ...
Year
DOI
Venue
2017
10.1109/TAES.2017.2700598
IEEE Transactions on Aerospace and Electronic Systems
Keywords
Field
DocType
Object detection,Image reconstruction,Image coding,Correlation,Sensors,Matching pursuit algorithms,Image resolution
Least squares,Iterative reconstruction,Computer vision,Object detection,Night vision,Cardinal point,Quadratic equation,Artificial intelligence,Image resolution,Compressed sensing,Mathematics
Journal
Volume
Issue
ISSN
53
5
0018-9251
Citations 
PageRank 
References 
2
0.43
10
Authors
4
Name
Order
Citations
PageRank
Brian Millikan120.77
Aritra Dutta295.60
Qiyu Sun322123.66
Hassan Foroosh474859.98