Software Framework for Hyperspectral Data Exploration and Processing in MATLAB
Eskelinen, M. (2017). Software Framework for Hyperspectral Data Exploration and Processing in MATLAB. In E. Honkavaara, B. Hu, K. Karantzalos, X. Liang, R. Müller, E. Nocerino, I. Pölönen, & P. Rönnholm (Eds.), ISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions (pp. 47-50). International Society for Photogrammetry and Remote Sensing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W3. https://doi.org/10.5194/isprs-archives-XLII-3-W3-47-2017
Published inInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Hu, B. |
© Authors 2017. This is an open access article distributed under the terms of a Creative Commons License.
This paper presents a user introduction and a general overview of the MATLAB software package hsicube developed by the author for simplifying the data manipulation and visualization tasks often encountered in hyperspectral analysis work, and the design principles and software development methods used by the author. The framework implements methods for slicing, masking, visualization and application of existing functions to hyperspectral data cubes without the need to use explicit indexing or reshaping, as well as enabling expressive syntax for combining these operations on the command line for highly efficient data analysis workflows. It also includes utilities for interfacing with existing file reader scripts for easy access to files using the framework. The hsicube framework is released as open source to promote the free use and peer review of the code and enable collaborative development.
PublisherInternational Society for Photogrammetry and Remote Sensing
ConferenceCongress of the International Society for Photogrammetry and Remote Sensing
Is part of publicationISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions
Publication in research information system
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Except where otherwise noted, this item's license is described as © Authors 2017. This is an open access article distributed under the terms of a Creative Commons License.
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