Target detection modeling under poorly illuminated conditions

Sandra Wiseman; Robert Sundberg; Timothy Perkins

doi:10.1117/12.2633598

3 October 2022 Target detection modeling under poorly illuminated conditions

Sandra Wiseman, Robert Sundberg, Timothy Perkins

Proceedings Volume 12235, Imaging Spectrometry XXV: Applications, Sensors, and Processing; 122350D (2022) https://doi.org/10.1117/12.2633598
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Target detection under poorly illuminated conditions or in shadows is a challenging problem due to low signal and strong atmospheric scattering relative to well-illuminated pixels. We will use The Monte Carlo Scene (MCScene), a high fidelity and radiometrically accurate ray tracing model, to simulate targets in shadow and explore the parameter space that effects target detectability including variable illumination intensity and target spectral characteristics. An advantage of using MCScene for this type of simulation is that atmospheric effects, including the strong wavelength dependent aerosol scattering that contributes to diffuse illumination in shadows, are properly modeled.

Conference Presentation

Citation Download Citation

Sandra Wiseman, Robert Sundberg, and Timothy Perkins "Target detection modeling under poorly illuminated conditions", Proc. SPIE 12235, Imaging Spectrometry XXV: Applications, Sensors, and Processing, 122350D (3 October 2022); https://doi.org/10.1117/12.2633598

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