Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches

Abstract

This paper focusses on the signal processing approaches necessary to achieve the three main tasks of gas-phase remote sensing: detection of a plume, identification of its constituent gases, and quantification of the amounts present. A tutorial introduction to the radiance phenomenology is given that drives the models on which exploitation algorithms are based which is followed by the fundamental aspects of the data-exploitation problem, develop algorithms that can successfully exploit data from many different sensors, and discuss the many challenges that remain open to the signal processing community. Results using real hyperspectral data sets are also presented.