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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data
Joint Authors
Jordan, Johannes
Angelopoulou, Elli
Maier, Andreas
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-13
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
Multispectral and hyperspectral images are well established in various fields of application like remote sensing, astronomy, and microscopic spectroscopy.
In recent years, the availability of new sensor designs, more powerful processors, and high-capacity storage further opened this imaging modality to a wider array of applications like medical diagnosis, agriculture, and cultural heritage.
This necessitates new tools that allow general analysis of the image data and are intuitive to users who are new to hyperspectral imaging.
We introduce a novel framework that bundles new interactive visualization techniques with powerful algorithms and is accessible through an efficient and intuitive graphical user interface.
We visualize the spectral distribution of an image via parallel coordinates with a strong link to traditional visualization techniques, enabling new paradigms in hyperspectral image analysis that focus on interactive raw data exploration.
We combine novel methods for supervised segmentation, global clustering, and nonlinear false-color coding to assist in the visual inspection.
Our framework coined Gerbil is open source and highly modular, building on established methods and being easily extensible for application-specific needs.
It satisfies the need for a general, consistent software framework that tightly integrates analysis algorithms with an intuitive, modern interface to the raw image data and algorithmic results.
Gerbil finds its worldwide use in academia and industry alike with several thousand downloads originating from 45 countries.
American Psychological Association (APA)
Jordan, Johannes& Angelopoulou, Elli& Maier, Andreas. 2016. A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1108423
Modern Language Association (MLA)
Jordan, Johannes…[et al.]. A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1108423
American Medical Association (AMA)
Jordan, Johannes& Angelopoulou, Elli& Maier, Andreas. A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1108423
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108423