Development and Implementation of Software Systems for Imaging Spectroscopy

Boardman, Joseph W.; Biehl, L. L.; Clark, Rob; Kruse, Fred A.; Mazer, Alan S.; Torson, J.

doi:10.1109/igarss.2006.510

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Earlier frameworks focus on a specific application, most prominently in the field of remote sensing. Boardman et al [13] provided an overview of the history of established software systems for remote sensing hyperspectral data. Biehl [14] created an updated list on the web in 2007.…”

Section: Previous Workmentioning

confidence: 99%

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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data

Jordan

Angelopoulou

Maier

2016

Journal of Electrical and Computer Engineering

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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.

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Section: Previous Workmentioning

confidence: 99%

“…A widely used commercial software is ENVI [18], initially developed by Boardman et al [13]. Several innovations in hyperspectral analysis were introduced in ENVI, including, for example, the Pixel Purity Index (PPI) [19].…”

Section: Remote Sensing the Spectral Image Processing Systemmentioning

confidence: 99%