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dc.contributor.authorEskelinen, Matti
dc.contributor.editorHonkavaara, E.
dc.contributor.editorHu, B.
dc.contributor.editorKarantzalos, K.
dc.contributor.editorLiang, X.
dc.contributor.editorMüller, R.
dc.contributor.editorNocerino, E.
dc.contributor.editorPölönen, Ilkka
dc.contributor.editorRönnholm, P.
dc.date.accessioned2017-11-10T10:04:25Z
dc.date.available2017-11-10T10:04:25Z
dc.date.issued2017
dc.identifier.citationEskelinen, 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.), <i>ISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions</i> (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. <a href="https://doi.org/10.5194/isprs-archives-XLII-3-W3-47-2017" target="_blank">https://doi.org/10.5194/isprs-archives-XLII-3-W3-47-2017</a>
dc.identifier.otherCONVID_27330113
dc.identifier.otherTUTKAID_75578
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/55823
dc.description.abstractThis 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.
dc.language.isoeng
dc.publisherInternational Society for Photogrammetry and Remote Sensing
dc.relation.ispartofISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions
dc.relation.ispartofseriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.relation.urihttps://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/47/2017/isprs-archives-XLII-3-W3-47-2017.pdf
dc.subject.othersoftware
dc.subject.otherhyperspectral imaging
dc.subject.otherdata exploration
dc.titleSoftware Framework for Hyperspectral Data Exploration and Processing in MATLAB
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-201711074156
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2017-11-07T13:15:12Z
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange47-50
dc.relation.issn1682-1750
dc.type.versionpublishedVersion
dc.rights.copyright© Authors 2017. This is an open access article distributed under the terms of a Creative Commons License.
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceCongress of the International Society for Photogrammetry and Remote Sensing
dc.subject.ysoMATLAB
jyx.subject.urihttp://www.yso.fi/onto/yso/p12929
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.5194/isprs-archives-XLII-3-W3-47-2017
dc.type.okmA4


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© Authors 2017. This is an open access article distributed under the terms of a Creative Commons License.
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.