Assessment of target detection limits in hyperspectral data

Abstract

Hyperspectral remote sensing data can be used for civil and military applications to detect and classify target objects that cannot be reliably separated using broadband sensors. The comparably low spatial resolution is compensated by the fact that small targets, even below image resolution, can still be classiffed. The goal of this paper is to determine the target size to spatial resolution ratio for successful classiffcation of different target and background materials. Airborne hyperspectral data is used to simulate data with known Show more