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Prediction and Assessment Comparison for Optimizing Spectral Imaging System Design

We explore an analytic modeling tool developed to predict utility of spectral imaging systems for subpixel target detection and compare the prediction to assessment of spectral images of a comparable scene generated using a physics-based simulation model. We predict performance of a system design using the Forecasting and Analysis of Spectro-radiometric System Performance (FASSP) model. Then we assess the performance and supplement the prediction using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model to test subpixel target detection performance on simulated images. We present the initial results of comparison of a simple open ocean scene with orange lifeboat targets between the FASSP prediction and assessment using DIRSIG images. For the target considered, both the analytic and simulation approaches showed comparable detection.