New algorithm reduces false alarms and boosts detection rate for infrared targets.
A new method was developed to detect small targets using fractal characteristics and local entropy. By combining three fractal features, the algorithm improved target detection accuracy. The use of local entropy helped reduce computational load and enhance target identification. Experimental results showed that this approach effectively decreased false alarms and increased detection rates.
