&lt;title&gt;Glint-induced false alarm reduction in signature adaptive target detection&lt;/title&gt;

Crosby, Frank J.

doi:10.1117/12.477036

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Multi-feature fusion can improve the detection rate of dim targets [37,38]. If we use the ratio of mid-wave infrared and long-wave infrared or combine the detection results from both bands, then sun-glint can be easily removed [39,40]. Voting of various classifiers can enhance dim target detection rates [41].…”

Section: Visual Context-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

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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.

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Section: Visual Context-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

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“…Multi-feature fusion can improve the detection rate of dim targets [ 46 , 47 ]. If spectral fusion, such as the ratio of mid-wave infrared and long-wave infrared or a combination of the detection results from both bands, is used, the sun-glint can be removed easily [ 48 , 49 ]. The voting of various classifiers can enhance the dim target detection rates [ 50 ].…”

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

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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.

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Measured statistics of retroreflected 1064 nm laser light in atmospheric turbulence

Cole

Zacherl

Delong

2010

Journal of Modern Optics

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Detection of optical targets using laser illumination has become an increasingly valuable military tool. In order to better understand typical detection scenarios for a laser illumination system and to improve target detection performance, intensity probability density functions of retroreflected near-infrared laser light were experimentally measured over a near-ground line-of-sight optical path. Returns from a corner cube and a simple lens-mirror system were recorded under a variety of atmospheric conditions, as measured by changes in the refractive-index structure parameter C 2 n . In addition to its applicability to target detection, this work is relevant to atmospheric propagation research and to free-space laser communication studies.

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<title>Glint-induced false alarm reduction in signature adaptive target detection</title>

Cited by 3 publications

References 1 publication

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

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

Measured statistics of retroreflected 1064 nm laser light in atmospheric turbulence

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