MIMN-DPP: Maximum-information and minimum-noise determinantal point processes for unsupervised hyperspectral band selection

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dc.contributor.authorWeizhao, Chen
dc.contributor.authorZhijing, Yang
dc.contributor.authorRen, Jinchang
dc.contributor.authorJiangzhong, Cao
dc.contributor.authorNian, Cai
dc.contributor.authorZhao, Huimin
dc.contributor.authorPeter, Yuen
dc.date.accessioned2020-03-19T14:09:57Z
dc.date.available2020-03-19T14:09:57Z
dc.date.issued2020-01-21
dc.description.abstractBand selection plays an important role in hyperspectral imaging for reducing the data and improving the efficiency of data acquisition and analysis whilst significantly lowering the cost of the imaging system. Without the category labels, it is challenging to select an effective and low-redundancy band subset. In this paper, a new unsupervised band selection algorithm is proposed based on a new band search criterion and an improved Determinantal Point Processes (DPP). First, to preserve the original information of hyperspectral image, a novel band search criterion is designed for searching the bands with high information entropy and low noise. Unfortunately, finding the optimal solution based on the search criteria to select a low-redundancy band subset is a NP-hard problem. To solve this problem, we consider the correlation of bands from both original hyperspectral image and its spatial information to construct a double-graph model to describe the relationship between spectral bands. Besides, an improved DPP algorithm is proposed for the approximate search of a low-redundancy band subset from the double-graph model. Experiment results on several well-known datasets show that the proposed optical band selection algorithm achieves better performance than many other state-of-the-art methods.en_UK
dc.identifier.citationChen W, Yang Z, Ren J, et al., (2020) MIMN-DPP: Maximum-information and minimum-noise determinantal point processes for unsupervised hyperspectral band selection. Pattern Recognition, Volume 102, June 2020, Article number 107213en_UK
dc.identifier.issn0031-3203
dc.identifier.urihttps://doi.org/10.1016/j.patcog.2020.107213
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/15311
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectHyperspectral images (HSI)en_UK
dc.subjectUnsupervised band selectionen_UK
dc.subjectMaximum information and minimum noise (MIMN) criterionen_UK
dc.subjectDeterminantal point processes (DPP)en_UK
dc.titleMIMN-DPP: Maximum-information and minimum-noise determinantal point processes for unsupervised hyperspectral band selectionen_UK
dc.typeArticleen_UK

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