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

Agronomy

Hamlyn G. Jones¹ 

[1] Division of Plant Science, University of Dundee at the James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK

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

DOI  :  10.3390/agronomy4030380

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.