Homogenising and segmenting hyperspectral images of plants and testing chemicals in a high-throughput plant phenotyping setup

Puneet Mishra, Martin Schmuck, Sina Roth, Andreas Nicol, Alison Nordon

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)
2 Downloads (Pure)

Abstract

Use of hyperspectral imaging (HSI) for automated characterisation of plants in a high-throughput plant phenotyping setup (HTPPS) is a challenging task. A challenge arises when the same plant is being monitored automatically during the experiment as it might not be in the same orientation as it was imaged last time. Such changes in orientation result in variations in illumination, which affects the signals recorded by the HSI setup. In addition, there are challenges with the use of threshold-based segmentation approaches such as normalised difference vegetation index (NDVI) for distinguishing between old and dead leaves, which might be observed in the later stages of experiments, from the soil background. Therefore, the potential of spectral normalisation for homogenising HS images and the use of supervised spectral set for plant segmentation is presented. Further, the effects of testing chemicals on plants were visualised using PCA of the HS images.
Original languageEnglish
Title of host publication2019 10th Workshop on Hyperspectral Imaging and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing
Place of PublicationPiscataway
PublisherIEEE
Number of pages5
ISBN (Print)9781728152943
DOIs
Publication statusPublished - 5 Dec 2019
Event2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) -
Duration: 24 Sep 201926 Sep 2019

Conference

Conference2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
Period24/09/1926/09/19

Keywords

  • visible-near infrared
  • standard normal variate
  • high-throughput plant phenotyping setup
  • automated

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    Mishra, P., Schmuck, M., Roth, S., Nicol, A., & Nordon, A. (2019). Homogenising and segmenting hyperspectral images of plants and testing chemicals in a high-throughput plant phenotyping setup. In 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing [8921019] IEEE. https://doi.org/10.1109/WHISPERS.2019.8921019