Feature measurement augmentation for a dynamic programming-based IR target detection algorithm in the naval environment

Hubbard, Wendy; Page, Greg A.; Carroll, Brian D.; Manson, Don C.

doi:10.1117/12.354489

Cited by 6 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is noted that a proper and reliable measurement of the temperature profile at sea is not a simple matter; an urgent need exists to collect this kind of model-input data. [15][16][17][18][19][20] km. It is interesting to note that the maximum DOS values rise about 4 times above the average value.…”

Section: Resultsmentioning

confidence: 99%

“…A major step towards possibly increased IRST performance was created by the wider availability of JR FPA's since the last decade. As can be expected however, the introduction of a sensor, based upon a considerable number of FPA's (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24), takes time, first of all because new, more complex processors have to be built, but secondly because of the cost involved with the EPA's and the relatively small, mainly military market. Various concepts have been described, such as the Staring Jnfrared Passive Sensor (SJRPS, USA) [3], a German technology demonstrator [4], and the EUCLID RTP8.2 CUPOLA concept [5].…”

Section: Introductionmentioning

confidence: 96%

See 1 more Smart Citation

Enhanced IR point target detection by atmospheric effects

Jong

Winkel

2003

SPIE Proceedings

View full text Add to dashboard Cite

Next generation Infrared Search and Track Sensors (IRST's) will use Infrared Focal Plane Arrays (IR FPA's) because of their benefit concerning increased sensitivity, higher update rate and inherent capability of enhanced processing.Moreover the full stare IRST concept allows a more flexible set-up on the platform to be protected such as ships, airplanes or air defence sites. The increased sensitivity is primarily a consequence of the large amount of detector elements in use, leading to longer integration times in comparison with present generation IRST's. If increased sensitivity (and thus range) is not required, a trade-off can be made on dimensions of the optics, the most vulnerable part of the system. It was found during a series of experiments at various locations, that in many occasions optical phenomena in the marine boundary layer, such as sub-refraction and scintillation, provide additional sensitivity, when appropriate signal handling is used. Of course this enhanced sensitivity is partly reduced by the greater extinction in this boundary layer due to higher relative humidity and aerosol concentration. These phenomena have been investigated in great detail and new models tend to predict their magnitude when adequate input parameters are used. This paper describes the basics of next generation IRST's and the results of the investigations on enhanced JR point target detection performance by proper use of the atmospheric "multiplier" effects.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Enhanced IR point target detection by atmospheric effects

Jong

Winkel

2003

SPIE Proceedings

View full text Add to dashboard Cite

show abstract

“…The simplest method is the nearest neighbor classifier (NNC), which only uses feature similarity [46]. Besides NNC, there are the model-based Bayesian classifier [47], learning-based neural network, and support vector machine (SVM) [48,49]. Classification information can be useful to remove various clutters.…”

Section: Decision-based Target Detectionmentioning

confidence: 99%

Double Layered-Background Removal Filter for Detecting Small Infrared Targets in Heterogenous Backgrounds

Kim

2010

J Infrared Milli Terahz Waves

View full text Add to dashboard Cite

Detecting small targets is essential for mitigating the sea-based Infrared search and track (IRST) problem. It is easy to detect small targets in homogeneous backgrounds such as the sky. When targets are on the border line of heterogeneous backgrounds such as the horizon in the sky and sea surface, solving the problem of detection becomes difficult. This paper presents a novel spatial filtering method, called Double Layered-Background Removal Filter (DL-BRF), for achieving high detection rates and low false alarm rates. DL-BRF consists of a Modified-Mean Subtraction Filter (M-MSF) and a consecutive LocalDirectional Background Removal Filter (L-DBRF). M-MSF enhances the target signal and reduces background noise. L-DBRF removes horizontal structures, which upgrade the signal-to-clutter ratio and background suppression factor. L-DBRF used after M-MSF enhances the synergistic performance of horizontal target detection. Additionally, the adaptive Hysteresis threshold-based scheme is a suitable detection method. We validate the superior performance of the proposed method via three types of evaluation tests, including a real test scenario.

show abstract

“…The simplest classification method is the nearest neighbor classifier (NNC) algorithm, which uses only feature similarity [ 32 ]. In addition to NNC, there are model-based the Bayesian classifier [ 33 ], learning-based neural network, and support vector machine (SVM) [ 34 ] methods. Classification information can be useful for removing various clutter points.…”

Section: Related Work In Terms Of Clutter Rejectionmentioning

confidence: 99%

Small Infrared Target Detection by Region-Adaptive Clutter Rejection for Sea-Based Infrared Search and Track

Kim

Lee

2014

Sensors

View full text Add to dashboard Cite

This paper presents a region-adaptive clutter rejection method for small target detection in sea-based infrared search and track. In the real world, clutter normally generates many false detections that impede the deployment of such detection systems. Incoming targets (missiles, boats, etc.) can be located in the sky, horizon and sea regions, which have different types of clutters, such as clouds, a horizontal line and sea-glint. The characteristics of regional clutter were analyzed after the geometrical analysis-based region segmentation. The false detections caused by cloud clutter were removed by the spatial attribute-based classification. Those by the horizontal line were removed using the heterogeneous background removal filter. False alarms by sun-glint were rejected using the temporal consistency filter, which is the most difficult part. The experimental results of the various cluttered background sequences show that the proposed region adaptive clutter rejection method produces fewer false alarms than that of the mean subtraction filter (MSF) with an acceptable degradation detection rate.

show abstract

Feature measurement augmentation for a dynamic programming-based IR target detection algorithm in the naval environment

Cited by 6 publications

References 1 publication

Enhanced IR point target detection by atmospheric effects

Enhanced IR point target detection by atmospheric effects

Double Layered-Background Removal Filter for Detecting Small Infrared Targets in Heterogenous Backgrounds

Small Infrared Target Detection by Region-Adaptive Clutter Rejection for Sea-Based Infrared Search and Track

Contact Info

Product

Resources

About