A fast hyperspectral hit-or-miss transform with integrated projection-based dimensionality reduction

Macfarlane, Fraser and Murray, Paul and Marshall, Stephen and White, Henry (2018) A fast hyperspectral hit-or-miss transform with integrated projection-based dimensionality reduction. In: Hyperspectral Imaging Applications (HSI) 2018, 2018-10-10 - 2018-10-11.

[img]
Preview
Text (Macfarlane-etal-HSI-2018-A-fast-hyperspectral-hit-or-miss-transform-with-integrated-projection)
Macfarlane_etal_HSI_2018_A_fast_hyperspectral_hit_or_miss_transform_with_integrated_projection.pdf
Accepted Author Manuscript

Download (3MB)| Preview

    Abstract

    The Hit-or-Miss transform (HMT) is a common tool in Mathematical Morphology (MM) used in template matching and object detection and subsequent classification applications. The HMT probes a query image with a pair of structuring elements (SEs) which are designed to detect specific objects of interest. The relative size of hyperspectral image data in particular provides a wealth of information on a scene however, it also makes object detection via a HMT a computationally expensive process. We aim to solve this problem through employing both spatial and spectral dimensionality reduction (DR) techniques to transform a hyperspectral image and its associated SEs designed for the HMT into a reduced space.