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Scaling of Thermal Images at Different Spatial Resolution: The Mixed Pixel Problem

期刊

AGRONOMY-BASEL
卷 4, 期 3, 页码 380-396

出版社

MDPI AG
DOI: 10.3390/agronomy4030380

关键词

image aggregation; image disaggregation; mixed pixels; oversampling; super-resolution; up-scaling

资金

  1. CSIRO-Phenomics Informatics and Modelling Tools
  2. High Resolution Plant Phenomics Centre under Australian government National Collaborative Research Infrastructure Strategy (Australian Plant Phenomics Facility)
  3. HRPPC

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The consequences of changes in spatial resolution for application of thermal imagery in plant phenotyping in the field are discussed. Where image pixels are significantly smaller than the objects of interest (e.g., leaves), accurate estimates of leaf temperature are possible, but when pixels reach the same scale or larger than the objects of interest, the observed temperatures become significantly biased by the background temperature as a result of the presence of mixed pixels. Approaches to the estimation of the true leaf temperature that apply both at the whole-pixel level and at the sub-pixel level are reviewed and discussed.

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