Abstract
AbstractWe describe a method of fusing, visualizing, and exploring multiple registered images called the image grand tour (IGT). The IGT is based on the grand tour idea for exploring high‐dimensional data sets. In this article, we provide information on the general grand tour and show how this can be adapted to explore many linear combinations of the registered images in search of interesting structure and information. We provide several examples where the IGT is used for remote sensing, the search for rock art pictographs, and sensor fusion. WIREs Comput Stat 2013, 5:198–206. doi: 10.1002/wics.1253This article is categorized under: Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis Statistical Learning and Exploratory Methods of the Data Sciences > Image Data Mining Applications of Computational Statistics > Signal and Image Processing and Coding
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