Use of physics based models in hyperspectral image exploitation

Abstract

This paper describes a concept for using physics based models to support exploitation of remotely sensed image spectrometer data. It then reviews several methods from the literature illustrating more specifically how physics based models have been used as part of atmospheric correction, water quality assessment and temperature measurement algorithms. Finally a new approach for using model based techniques for subpixel target detection is presented This technique builds on a previously introduced invariant method that uses physics based models to support target detection of fully resolved targets without requiring in scene training or atmospheric correction. An example using the new subpixel invariant method applied to an AVIRIS image is presented.