Advancing Urban Airborne LiDAR Point Clouds to Geospatial Analysis Ready Data by Classification Schematic Representation and Query Efficient Restructuring

dc.contributor.guide	A M Ramiya
dc.coverage.spatial
dc.creator.researcher	Jayati Vijaywargiya
dc.date.accessioned	2026-01-20T09:05:14Z
dc.date.available	2026-01-20T09:05:14Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2020
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions	30cm*22cm
dc.format.extent	xxvi, 175p
dc.identifier.researcherid	0000-0001-8554-7520
dc.identifier.uri	http://hdl.handle.net/10603/688649
dc.language	English
dc.publisher.institution	Department of Earth and Space Sciences
dc.publisher.place	Thiruvananthapuram
dc.publisher.university	Indian Institute of Space Science and Technology
dc.relation	146
dc.rights	university
dc.source.university	University
dc.subject.keyword	Physical Sciences
dc.subject.keyword	Space Sciences
dc.subject.keyword	Meteorology and Atmospheric Science
dc.subject.keyword	Airborne LiDAR Scanning, Point Cloud Classification, Benchmark Dataset, Urban Representation, Point Cloud Query, Geospatial Application
dc.title	Advancing Urban Airborne LiDAR Point Clouds to Geospatial Analysis Ready Data by Classification Schematic Representation and Query Efficient Restructuring
dc.title.alternative
dc.type.degree	Ph.D.