INFRARED SMALL TARGET DETECTION ALGORITHM BASED ON SELF-ADAPTIVE BACKGROUND FORECAST
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A background forecast filter is presented to detect a small target under an infrared (IR) nature scene. By calculating the correlation of image pixels, the background around the small target could be forecasted. Subtracting the forecast background from original scene, the small targets would become outstanding. Experimental results show that the algorithm proposed has better performance with respect to probability of detection and less computation complexity.
Keywordssmall target detection background forecast adaptive real-time infrared image
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