Matched Filter Processor for Detection and Discrimination of Unexploded Ordnance: OASIS Montaj Integration

2002 ◽  
Author(s):  
Dean Keiswetter
Keyword(s):  
Matched Filter ◽  
Unexploded Ordnance

Matched Filter Processor for Detection and Discrimination of Unexploded Ordnance

2003 ◽  
Author(s):  
Jeffrey Marqusee ◽  
George Robitaille ◽  
Thomas Bell
Keyword(s):  
Matched Filter ◽  
Unexploded Ordnance

Injuries from Landmines and Unexploded Ordnance in Afghanistan

2002 ◽  
Vol 17 (S2) ◽  
pp. S36
Author(s):  
Oleg O. Bilukha ◽  
M. Brennan ◽  
B. Woodruff
Keyword(s):  
Unexploded Ordnance

Object Detection Using an Ideal Observer Model

2020 ◽  
Vol 2020 (16) ◽  
pp. 41-1-41-7
Author(s):  
Orit Skorka ◽  
Paul J. Kane
Keyword(s):  
Object Detection ◽  
Matched Filter ◽  
Image Sensors ◽  
Ideal Observer ◽  
Noise Power ◽  
Relative Evaluation ◽  
Detection And Identification ◽  
Cross Correlation Analysis ◽  
Observer Model ◽  
The Ideal

Many of the metrics developed for informational imaging are useful in automotive imaging, since many of the tasks – for example, object detection and identification – are similar. This work discusses sensor characterization parameters for the Ideal Observer SNR model, and elaborates on the noise power spectrum. It presents cross-correlation analysis results for matched-filter detection of a tribar pattern in sets of resolution target images that were captured with three image sensors over a range of illumination levels. Lastly, the work compares the crosscorrelation data to predictions made by the Ideal Observer Model and demonstrates good agreement between the two methods on relative evaluation of detection capabilities.

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