Title | ||
---|---|---|
Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters. |
Abstract | ||
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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 Millikan | 1 | 2 | 0.77 |
Aritra Dutta | 2 | 9 | 5.60 |
Qiyu Sun | 3 | 221 | 23.66 |
Hassan Foroosh | 4 | 748 | 59.98 |