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.

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    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.

    ORCID iDs

    Macfarlane, Fraser ORCID logoORCID: https://orcid.org/0000-0002-7411-1446, Murray, Paul ORCID logoORCID: https://orcid.org/0000-0002-6980-9276, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628 and White, Henry;
    CORE (COnnecting REpositories)