Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10637
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dc.contributor.authorGupta, Gunjanen_US
dc.contributor.authorMishra, Vikash Kumaren_US
dc.contributor.authorPragya, Nidhien_US
dc.date.accessioned2026-07-29T11:54:45Z-
dc.date.available2026-07-29T11:54:45Z-
dc.date.issued2025-
dc.identifier.citationGupta, G., Mishra, V.K. & Pragya, N. 2025. A study on remote sensing image classification. (In: Proceedings of International Conference on Recent Innovations in Computing (ICRIC) 2024, Volume 1421, Jammu, India, 22-23 August 2024. p 307-316. [https://doi.org/10.1007/978-981-96-6034-6_21]en_US
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119 (Online)-
dc.identifier.urihttp://hdl.handle.net/11189/10637-
dc.description.abstractRemote Sensing Images (RSIs) are rich in quantitative and qualitative information. A single RSI is worth millions of acres of land area. The RSI is only valuable once mapped into Land Use and Land Cover (LULC). The LULC is achieved through different techniques; classification is one such method which classifies the terrestrial features into respective classes and labels them. This study focuses on Remote Sensing Image classification and different classification methods.en_US
dc.language.isoenen_US
dc.publisherSpringer Natureen_US
dc.titleA study on remote sensing image classificationen_US
dc.relation.conferenceProceedings of International Conference on Recent Innovations in Computing (ICRIC)en_US
dc.identifier.doihttps://doi.org/10.1007/978-981-96-6034-6_21-
dc.typeOtheren_US
Appears in Collections:Eng - Conference Proceedings
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