MIMR-DGSA : unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm
Tschannerl, Julius and Ren, Jinchang and Yuen, Peter and Sun, Genyun and Zhao, Huimin and Yang, Zhijing and Wang, Zheng and Marshall, Stephen (2019) MIMR-DGSA : unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm. Information Fusion, 51. pp. 189-200. ISSN 1566-2535 (https://doi.org/10.1016/j.inffus.2019.02.005)
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Abstract
Band selection plays an important role in hyperspectral data analysis as it can improve the performance of data analysis without losing information about the constitution of the underlying data. We propose a MIMR-DGSA algorithm for band selection by following the Maximum-Information-Minimum-Redundancy (MIMR) criterion that maximises the information carried by individual features of a subset and minimises redundant information between them. Subsets are generated with a modified Discrete Gravitational Search Algorithm (DGSA) where we definine a neighbourhood concept for feature subsets. A fast algorithm for pairwise mutual information calculation that incorporates variable bandwidths of hyperspectral bands called VarBWFastMI is also developed. Classification results on three hyperspectral remote sensing datasets show that the proposed MIMR-DGSA performs similar to the original MIMR with Clonal Selection Algorithm (CSA) but is computationally more efficient and easier to handle as it has fewer parameters for tuning.
ORCID iDs
Tschannerl, Julius ORCID: https://orcid.org/0000-0002-4613-1693, Ren, Jinchang ORCID: https://orcid.org/0000-0001-6116-3194, Yuen, Peter, Sun, Genyun, Zhao, Huimin, Yang, Zhijing, Wang, Zheng and Marshall, Stephen ORCID: https://orcid.org/0000-0001-7079-5628;-
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Item type: Article ID code: 67019 Dates: DateEvent1 November 2019Published15 February 2019Published Online14 February 2019AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 19 Feb 2019 14:49 Last modified: 11 Nov 2024 12:14 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/67019