Modelling the effectiveness of hyperspectral target detection as a function of sensor characteristics

Jonathan Piper

doi:10.1117/12.2618324

31 May 2022 Modelling the effectiveness of hyperspectral target detection as a function of sensor characteristics

Jonathan Piper

Proceedings Volume 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII; 120940R (2022) https://doi.org/10.1117/12.2618324
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

It is often difficult to determine the precise characteristics that a hyperspectral sensor must have to meet mission objectives, but this information is crucial for designing a successful mission. We have developed a tool which emulates data from hyperspectral sensors by degrading other hyperspectral imagery. The tool performs target detection on the emulated imagery and assesses the utility of the modelled sensor based on detection performance. We will present details of how the tool functions; validation of the tool against airborne hyperspectral data; and extrapolations showing the estimated performance of different sensor configurations outside the validation envelope.

Conference Presentation

Citation Download Citation

Jonathan Piper "Modelling the effectiveness of hyperspectral target detection as a function of sensor characteristics", Proc. SPIE 12094, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXVIII, 120940R (31 May 2022); https://doi.org/10.1117/12.2618324

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