Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Optimal Feature Selection for the Classification of Hyperspectral Imagery Using Adaptive SpectralSpatial Clustering Subject The topic of the resource Classification; Clustering; Hyperspectral image; Parallel classifiers; Spectralspatial features Description An account of the resource Hyperspectral images captured through the hyperspectral sensors play an imperative part in remote sensing applications in the present context. Unlike traditional images sensed with few bands in the visible spectrum, the hyperspectral (HS) images are obtained with hundreds of spectral band ranges from infrared to ultraviolet regions. Because of its vast spatial and spectral data, it requires an extensive computational system for processing and its hidden features are needed to be unveiled in an effective manner specifically for the classification of HS imagery. This approach exploits the high spectral band correlation and rich spatial information of the HS images for the generation of feature vectors. To attain optimal feature space for the best probable classification, an adaptive approach is incorporated to adaptively choose spectralspatial features for feature selection to classify the pixels effectively. Furthermore, the HS image encompasses several bands including noisy bands. To categorize the images with great accuracy, it is suggested to eradicate the noisy bands whilst retaining the informative bands. In this research, an adaptive spectralspatial feature selection scheme is proposed for HS images where the extremely correlated representative bands are considered for analysis with uncorrelated and noisy spectral bands are judiciously discarded during its classification process. This hybrid approach not merely diminishes the computational time and also improves the general classification accuracy significantly. The empirical result displays that the proposed work surpasses the conventional approach of HS image classification systems. 2018, Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Chidambaram S.; Sumathi A. Source A related resource from which the described resource is derived International Journal of Parallel Programming, Vol-48, No. 5, pp. 813-832. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10766-018-0607-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10766-018-0607-5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055987255&amp;doi=10.1007%2Fs10766-018-0607-5&amp;partnerID=40&amp;md5=e834221680bae90e9273b64cd801b5b2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055987255&amp;doi=10.1007%2fs10766-018-0607-5&amp;partnerID=40&amp;md5=e834221680bae90e9273b64cd801b5b2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 8857458; CODEN: IJPPE Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chidambaram S., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India; Sumathi A., Department of Electronics and Communication Engineering, Adhiyamaan College of Engineering, Hosur, India