NDLI: Spectral clustering and spatial Frobenius norm-based Jaya optimisation for BS of hyperspectral images

Content Provider	IET Digital Library
Author	Patro, Ram Narayan Subudhi, Subhashree Biswal, Pradyut Kumar
Abstract	The hyperspectral images (HSIs) often suffer from Hughes effect, as it records information of a single scene in several spectral bands. This can be mitigated by reducing the dimension of HSI. A novel framework for hybrid band selection (BS) is proposed in this work. The proposed technique is a multi-objective approach, which incorporates clustering (spectral) and intra-band (spatially filtered) de-correlation measure (Frobenius norm) as maximisation of two cost functions. Heuristic optimisers are very sensitive to their associated hyperparameters. So, in the proposed architecture, Jaya optimisation is used for BS, as it does not possess any algorithm-specific control parameter. Spatial and spectral features are extracted for both BS and classification (using support vector machine) for evaluating the effectiveness of the proposed/ experimented approaches. The evaluated performance measures are overall accuracy, average accuracy, and kappa (K). The experimental result shows that the proposed BS approach is better or competent with other experimented state-of-the-art methods. The advantages of the proposed framework can be stated as: (i) spectrally distinct and spatially invariant objective formulation; (ii) Jaya optimisation with minimal control parameters; (iii) optimised ranking for more accurate BS; and (iv) performing classification using spatial–spectral features for further band reduction with the desired accuracy.
Starting Page	307
Ending Page	315
Page Count	9
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 2, Feb (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5109
Journal	IET Image Processing
Publisher Date	2018-10-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algorithm-specific Control Parameter Band Reduction BS Approach Computer Vision And Image Processing Technique Cost Function De-correlation Measure Evaluated Performance Measures Geophysical Image Processing Geophysics Computing Heuristic Optimisers Hughes Effect Hybrid Band Selection Hyperspectral Image Image Recognition Knowledge Engineering Technique Minimal Control Parameter Multiobjective Approach Optimisation Optimisation Technique Optimised Ranking Pattern Clustering Single Scene Spatial Frobenius Norm-based Jaya Optimisation Spatially Invariant Objective Formulation Spatial–spectral Features Spectral Band Spectral Clustering Spectrally Distinct Objective Formulation Statistics Support Vector Machine
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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