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Image grand tour
Author(s) -
Martinez Wendy L.
Publication year - 2013
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.1253
Subject(s) - computer science , exploratory data analysis , coding (social sciences) , image (mathematics) , sensor fusion , artificial intelligence , grand challenges , neural coding , information retrieval , data science , data mining , mathematics , statistics , operating system
We 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.1253 This 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