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 Hyperspectral multi-level image thresholding using qutrit genetic algorithm Subject The topic of the resource Hyperspectral image thresholding; Multilevel quantum systems; Quantum genetic algorithm; Quantum mutation operator; Qutrit Description An account of the resource Hyperspectral images contain rich spectral information about the captured area. Exploiting the vast and redundant information, makes segmentation a difficult task. In this paper, a Qutrit Genetic Algorithm is proposed which exploits qutrit based chromosomes for optimization. Ternary quantum logic based selection and crossover operators are introduced in this paper. A new qutrit based mutation operator is also introduced to bring diversity in the off-springs. In the preprocessing stage two methods, called Interactive Information method and Band Selection Convolutional Neural Network are used for band selection. The modified Otsu Criterion and Masi entropy are employed as the fitness functions to obtain optimum thresholds. A quantum based disaster operation is applied to prevent the quantum population from getting stuck in local optima. The proposed algorithm is applied on the Salinas Dataset, the Pavia Centre Dataset and the Indian Pines dataset for experimental purpose. It is compared with classical Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Gray Wolf Optimizer, Harris Hawk Optimization, Qubit Genetic Algorithm and Qubit Particle Swarm Optimization to establish its effectiveness. The peak signal-to-noise ratio and Sensen-Dice Similarity Index are applied to the thresholded images to determine the segmentation accuracy. The segmented images obtained from the proposed method are also compared with those obtained by two supervised methods, viz., U-Net and Hybrid Spectral Convolutional Neural Network. In addition to this, a statistical superiority test, called the one-way ANOVA test, is also conducted to judge the efficacy of the proposed algorithm. Finally, the proposed algorithm is also tested on various real life images to establish its diversity and efficiency. 2021 Elsevier Ltd Creator An entity primarily responsible for making the resource Dutta T.; Dey S.; Bhattacharyya S.; Mukhopadhyay S.; Chakrabarti P. Source A related resource from which the described resource is derived Expert Systems with Applications, Vol-181 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.eswa.2021.115107" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.eswa.2021.115107</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106241525&amp;doi=10.1016%2Fj.eswa.2021.115107&amp;partnerID=40&amp;md5=202dba8e8b7a8d1a28c9970749c13a67" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106241525&amp;doi=10.1016%2fj.eswa.2021.115107&amp;partnerID=40&amp;md5=202dba8e8b7a8d1a28c9970749c13a67</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9574174; CODEN: ESAPE 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 Dutta T., Department of Computer Science &amp; Engineering, Assam University, Silchar, Assam, India; Dey S., Department of Computer Science, Sukanta Mahavidyalaya, Dhupguri, Jalpaiguri, West Bengal, India; Bhattacharyya S., Department of Computer Science &amp; Engineering, Christ University, Bangalore, Karnataka, India; Mukhopadhyay S., Department of Computer Science &amp; Engineering, Assam University, Silchar, Assam, India; Chakrabarti P., Techno India NJR Institute of Technology, Udaipur, Rajasthan, India