Aerial multispectral imagery for plant disease detection: radiometric calibration necessity assessment

Hossein Pourazar, Farhad Samadzadegan, F. Dadrass Javan*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
3 Downloads (Pure)

Abstract

This paper focused on the necessity of radiometric calibration to distinguish diseased trees in orchards based on aerial multi-spectral images. For this purpose, two study sites were selected where multispectral images were collected using a multirotor UAV. The impact of radiometric correction on plant disease detection was assessed in two ways: 1) comparison of separability between the healthy and diseased classes using T-test and entropy distances; 2) radiometric calibration effect on the accuracy of classification. The experimental results showed the insignificant effect of radiometric calibration on separability criteria. In the second strategy, the experimental results showed that radiometric calibration had a negligible effect on the accuracy of classification. As a result, the overall accuracy and kappa values for un-calibrated and calibrated orthomosaic classifications of the citrus orchard were 96.49%, 0.941, 96.57% and 0.942, respectively, using five spectral bands as well as DVI, NDRE, NDVI and GNDVI vegetation indices using a random forest classifier. The experimental results were also similar at the other study site. Therefore, the overall accuracy and kappa values for the un-calibrated and calibrated orthomosaic classifications were 95.58%, 0.913, 95.56% and 0.913, respectively, using five spectral bands as well as NDRE, BNDVI, GNDVI, DVI, and NDVI vegetation indices.

Original languageEnglish
Pages (from-to)17-31
Number of pages15
JournalEuropean Journal of Remote Sensing
Volume52
Issue numbersup3
Early online date23 Jul 2019
DOIs
Publication statusPublished - 6 Dec 2019
Externally publishedYes

Keywords

  • aerial imagery
  • classification
  • Multispectral
  • plant disease
  • radiometric calibration
  • ITC-CV

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