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Radiometry and contrast-to-noise ratio for continuous-wave and laser range-gated active imaging systems.

Joshua Follansbee, Derek Burrell, Orges Furxhi

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    Summary
    This summary is machine-generated.

    This tutorial explains radiometry for contrast-to-noise ratio in active imaging systems. It provides a metric for evaluating sensor performance using continuous-wave and laser range-gated techniques.

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    Area of Science:

    • Optical Engineering
    • Imaging Systems
    • Radiometry

    Background:

    • Active imaging system design requires careful consideration of resolution and sensitivity.
    • System sensitivity is quantified by signal-to-noise ratio (SNR) or contrast-to-noise ratio (CNR), derived from radiometry.

    Purpose of the Study:

    • To present a tutorial on the radiometry of CNR for active continuous-wave (CW) and laser range-gated (LRG) imaging systems.
    • To provide a metric for assessing reflective-band sensor performance against targets and backgrounds.

    Main Methods:

    • Detailed explanation of radiometric principles applied to CNR calculations.
    • Inclusion of a case study demonstrating the calculation of full power and CNR terms.
    • Comprehensive coverage of relevant radiometric signal terms and assumptions.

    Main Results:

    • A clear methodology for calculating CNR in active imaging systems is presented.
    • The tutorial provides a practical metric for sensor performance evaluation.
    • Assumptions made in the radiometric calculations are explicitly stated.

    Conclusions:

    • The presented radiometric approach offers a valuable tool for designing and evaluating active imaging systems.
    • The CNR metric is crucial for understanding sensor capabilities in distinguishing targets from backgrounds.
    • This work excludes coherent effects on SNR for clarity in radiometric analysis.