Journal
TECHNOMETRICS
Volume 54, Issue 1, Pages 16-29Publisher
AMER STATISTICAL ASSOC
DOI: 10.1080/00401706.2012.648862
Keywords
Bayesian methods; BSiZer; Image analysis; Satellite images; Scale space; SiZer
Categories
Funding
- Academy of Finland, Helsinki, Finland [119675]
- Finnish Graduate School in Stochastics and Statistics
- Academy of Finland (AKA) [119675, 119675] Funding Source: Academy of Finland (AKA)
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This article considers the detection of image features in different spatial scales. The main focus is on capturing the scale-dependent differences in a pair of noisy images, but the technique developed can also be applied to the analysis of single images. The approach proposed uses Bayesian statistical modeling and simulation-based inference, and it can be viewed as a further development of SiZer technology, originally designed for nonparametric curve fitting. Numerical examples include artificial test images and a preliminary analysis of a pair of Landsat images used in satellite-based forest inventory. This article has supplementary material online.
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