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.
Preview |
Text.
Filename: 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.
ORCID iDs
Macfarlane, Fraser ORCID: https://orcid.org/0000-0002-7411-1446, Murray, Paul ORCID: https://orcid.org/0000-0002-6980-9276, Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628 and White, Henry;-
-
Item type: Conference or Workshop Item(Paper) ID code: 65308 Dates: DateEvent10 October 2018Published16 August 2018AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 29 Aug 2018 14:24 Last modified: 13 Sep 2024 00:21 URI: https://strathprints.strath.ac.uk/id/eprint/65308