Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification Uddin, Md Palash, Mamun, Md Al, Afjal, Masud Ibn and Hossain, Md Ali 2021, Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification, International journal of remote sensing, vol. 42, no. 1, pp. 286-321, doi: 10.1080/01431161.2020.1807650. Attached Files Name Description MIMEType Size Downloads Title Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification Author(s) Uddin, Md Palash orcid.org/0000-0003-1100-3584 Mamun, Md Al Afjal, Masud Ibn Hossain, Md Ali Journal name International journal of remote sensing Volume number 42 Issue number 1 Start page 286 End page 321 Total pages 36 Publisher Taylor & Francis Place of publication Abingdon, Eng. Publication date 2021 ISSN 0143-1161 1366-5901 Language eng DOI 10.1080/01431161.2020.1807650 Indigenous content off Field of Research 0406 Physical Geography and Environmental Geoscience 0909 Geomatic Engineering HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30149456 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 24 Mar 2021, 11:35:19 EST Thu, 25 Mar 2021, 04:01:30 EST Thu, 25 Mar 2021, 05:05:47 EST Tue, 30 Mar 2021, 11:50:26 EST Tue, 30 Mar 2021, 11:52:02 EST Tue, 30 Mar 2021, 14:56:41 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 14 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 24 Mar 2021, 11:35:19 EST

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