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

Title
Small Infrared Target Detection by Region-Adaptive Clutter Rejection for Sea-Based Infrared Search and Track
Author(s)
김성호이주형[이주형]
Keywords
IR IMAGE SEQUENCES; DIM POINT-TARGETS; OBJECT DETECTION; CLOUD CLUTTER; ALGORITHM; FUSION; FILTER; BACKGROUNDS; TRANSFORM; CONTRAST
Issue Date
201407
Publisher
MDPI AG
Citation
SENSORS, v.14, no.7, pp.13210 - 13242
Abstract
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.
URI
http://hdl.handle.net/YU.REPOSITORY/31474http://dx.doi.org/10.3390/s140713210
ISSN
1424-8220
Appears in Collections:
공과대학 > 전자공학과 > Articles
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