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
Julkaistu sarjassa
International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesTekijät
Toimittajat
Hu, B. |
Päivämäärä
2017Tekijänoikeudet
© 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.
Julkaisija
International Society for Photogrammetry and Remote SensingKonferenssi
Congress of the International Society for Photogrammetry and Remote SensingKuuluu julkaisuun
ISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial SolutionsISSN Hae Julkaisufoorumista
1682-1750Asiasanat
Alkuperäislähde
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/47/2017/isprs-archives-XLII-3-W3-47-2017.pdfJulkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/27330113
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