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PIER PIER B PIER C PIER M PIER Letters
2011-03-18
Metrics for Performance Evaluation of Preprocessing Algorithms in Infrared Small Target Images
By
Wei-He Diao,

    Dr. Wei-He Diao

    School of Electronic and Information Engineering

    Beihang University

    China

    Homepage

Xia Mao,

    Prof. Xia Mao

    School of Electronic and Information Engineering

    Beihang University

    China

    Homepage

Vasile Gui

    Prof. Vasile Gui

    Politehnica Timisoara University

    Romania

    Homepage

Progress In Electromagnetics Research, Vol. 115, 35-53, 2011
doi:10.2528/PIER11012412
Abstract
Image preprocessing is commonly used in infrared (IR) small target detection to suppress background clutter and enhance target signature. To evaluate the performance of preprocessing algorithms, two performance metrics, namely PFTN (potential false targets number) decline ratio and BRI (background relative intensity) decline ratio are developed in this paper. The proposed metrics evaluate the performance of given preprocessing algorithm by comparing the qualities of input and output images. The new performance metrics are based on the theories of PFTN and BRI, which describe the quality of IR small target image, by representing the difficulty degree of target detection. Theoretical analysis and experimental results show that the proposed performance metrics can accurately reflect the effect of the image preprocessing stage on reducing false alarms and target shielding. Compared to the traditional metrics, such as signal-to-noise ratio gain and background suppression factor, the new ones are more intuitive and valid.
Citation
Wei-He Diao, Xia Mao, and Vasile Gui, "Metrics for Performance Evaluation of Preprocessing Algorithms in Infrared Small Target Images," Progress In Electromagnetics Research, Vol. 115, 35-53, 2011.
doi:10.2528/PIER11012412
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