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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Mishra, Vikash Kumar; Aleem, Abdul; Kumar, Vimal; Alapatt, Bosco Paul Title A name given to the resource A study on remote sensing image segmentation and classification Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Computational Intelligence and its Applications;pp.167-190 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.2174/9789815313321125010013" target="_blank" rel="noreferrer noopener">https://doi.org/10.2174/9789815313321125010013</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105005922887?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005922887?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mishra V.K., Galgotias University, Uttar pradesh, India; Aleem A., Galgotias University, Uttar pradesh, India; Kumar V., Galgotias University, Uttar pradesh, India; Alapatt B.P., Christ (Deemed to be University), Delhi NCR Campus, Ghaziabad, India Description An account of the resource The image is a composition of many pixels. These pixels include two pieces of information: coordinate or position and intensity value. The image includes several objects; extracting the crucial objects from the image is critical. Based on the similarity of patterns, classes, groups, and segments of contained objects in the image can be created. Assigning the labels to the pixels is necessary to make the image more informative for analyzing features and decision-making. This study addresses segmentation techniques and classifying images pertaining to remote sensing images. Thereafter, Land Use Land Cover (LULC) mapping is discussed, which classifies the remote sensing images. 2025 Bentham Science Publishers. All rights reserved. Subject The topic of the resource Classification; Image segmentation; Remote sensing Publisher An entity responsible for making the resource available Bentham Science Publishers Relation A related resource ISBN: 978-981531332-1; 978-981531333-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online