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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Unveiling the Landscape: A Comparative Study of U-Net Models for Geographical Features Segmentation Subject The topic of the resource Deep learning; Geographical features segmentation; Remote sensing; U-Net model; UNet++; UNetFormer Description An account of the resource Geographical features segmentation is a critical task in remote sensing and earth observation applications, enabling the extraction of valuable information from satellite imagery and aiding in environmental analysis, urban planning, and disaster management. The U-Net model, a deep learning architecture, has proven its efficacy in image segmentation tasks, including geographical feature analysis. In this research paper, a comparative study of various U-Net models customized explicitly for geographical features segmentation is presented. The study aimed to evaluate the performance of these U-Net variants under diverse geographical contexts and datasets. Their strengths and limitations were assessed, considering factors such as accuracy, robustness, and generalization capabilities. The efficacy of integrated components, such as skip connections, attention mechanisms, and multi-scale features, in enhancing the models performance was analyzed. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Antony A.; Kumar R.G. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 325-333. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-0975-5_29" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_29</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197295165&amp;doi=10.1007%2F978-981-97-0975-5_29&amp;partnerID=40&amp;md5=82e17dd45d2e9908a2d84f34acc3c105" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197295165&amp;doi=10.1007%2f978-981-97-0975-5_29&amp;partnerID=40&amp;md5=82e17dd45d2e9908a2d84f34acc3c105</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981970974-8 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Antony A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, 560074, India; Kumar R.G., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, 560074, India