Sensor design considerations for HSI remote sensing

摘要

Abstract: Hyperspectral imaging (HSI) technique in remote sensing gauges its performance based on the usefulness of the products. Many of the products consists of the detection and identification of various materials within an imaging element or pixel. Nearly all HSI systems image at a level in which several materials may compromise a single pixel. We have derived an expression for the sub-pixel detection capabilities assuming complete knowledge of background and target spectra and the spectral influence of the atmosphere. This derivation assumes that a pixel is comprised of a set of background and target spectral components which when added together, weighted by the area extent, produce the observed spectrum of the pixel. The analysis is done for two sensor types: one that is photon-noise limited and one that is detector-noise limited. Results of this analysis show that the basic sensor parameters can be separated effectively from phenomenology limitations, thus providing an ability to trade sensor parameters, leading to an understanding of their effect on target detection. This derivation forms a framework for discussing conditions for which backgrounds and the atmospheric interferences are not completely known and for cases in which the target spectrum may or may not be known. These results are compared to analyses directed at empirically understanding sensor trades. !6