Infrared Small Target Detection Based on Weighted Local Coefficient of Variation Measure
Robust infrared (IR) small target detection is critical for infrared search and track (IRST) systems and is a challenging task for complicated backgrounds. Current algorithms have poor performance on complex backgrounds, and there is a high false alarm rate or even missed detection. To address this...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |