Software Framework for Hyperspectral Data Exploration and Processing in MATLAB
Abstract
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.
Main Authors
Format
Conferences
Conference paper
Published
2017
Series
Subjects
Publication in research information system
Publisher
International Society for Photogrammetry and Remote Sensing
Original source
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/47/2017/isprs-archives-XLII-3-W3-47-2017.pdf
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201711074156Use this for linking
Review status
Peer reviewed
ISSN
1682-1750
DOI
https://doi.org/10.5194/isprs-archives-XLII-3-W3-47-2017
Conference
Congress of the International Society for Photogrammetry and Remote Sensing
Language
English
Published in
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Is part of publication
ISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions
Citation
- 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
Copyright© Authors 2017. This is an open access article distributed under the terms of a Creative Commons License.