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.
Creators(s): |
Macfarlane, Fraser ![]() ![]() ![]() | Item type: | Conference or Workshop Item(Paper) |
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ID code: | 65308 |
Keywords: | Hit-or-Miss Transform, Mathematical Morphology, structuring elements, hyperspectral image data, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering |
Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
Department: | Faculty of Engineering > Electronic and Electrical Engineering Strategic Research Themes > Measurement Science and Enabling Technologies |
Depositing user: | Pure Administrator |
Date deposited: | 29 Aug 2018 14:24 |
Last modified: | 13 Jan 2021 03:14 |
URI: | https://strathprints.strath.ac.uk/id/eprint/65308 |
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