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

Research output: Contribution to conferencePaper

30 Downloads (Pure)

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.
Original languageEnglish
Number of pages2
Publication statusPublished - 10 Oct 2018
EventHyperspectral Imaging Applications (HSI) 2018 -
Duration: 10 Oct 201811 Oct 2018
https://www.hsi2018.com

Conference

ConferenceHyperspectral Imaging Applications (HSI) 2018
Period10/10/1811/10/18
Internet address

Keywords

  • Hit-or-Miss Transform
  • Mathematical Morphology
  • structuring elements
  • hyperspectral image data

Fingerprint Dive into the research topics of 'A fast hyperspectral hit-or-miss transform with integrated projection-based dimensionality reduction'. Together they form a unique fingerprint.

  • Cite this