%PDF-1.4 % 1 0 obj << /Type /Pages /Count 1 /Kids [ 2 0 R ] >> endobj 2 0 obj << /Type /Page /Parent 1 0 R /Resources << /ProcSet [ /PDF /Text /ImageB /ImageC /ImageI ] /Font << /QuickPDFFab54356e 71 0 R /QuickPDFF868d47fa 114 0 R >> >> /Contents [ 5 0 R ] /MediaBox [ 0 0 595.2756 841.8898 ] /CropBox [ 0 0 595.2756 841.8898 ] >> endobj 3 0 obj << /Type /Catalog /Pages 1 0 R /Metadata 115 0 R >> endobj 4 0 obj << /Producer (Debenu Quick PDF Library 11.15 \(www.debenu.com\)) /Creator (Debenu Quick PDF Library 11.15 \(www.debenu.com\)) /CreationDate (D:20220919120047+02'00') /ModDate (D:20220919120047+02'00') >> endobj 5 0 obj << /Length 2610 /LC /iSQP >> stream 0 Tr /QuickPDFF868d47fa 14 Tf 0 0 0 rg 100 Tz 0 Tw 0 Tc 0 Ts BT 1 0 0 1 126.5368 770.8329 Tm (Automated Building Extraction from Dense LIDAR Data)Tj ET /QuickPDFF868d47fa 11 Tf 0 0 0 rg BT 1 0 0 1 146.6848 731.3912 Tm (Elzbieta Bielecka, Damian Wierzbicki and Olga Matuk \(Poland\))Tj ET /QuickPDFF868d47fa 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 689.3613 Tm 14.663 TL (Key words: )' ET /QuickPDFFab54356e 11 Tf 0 0 0 rg BT 1 0 0 1 141.7323 689.3613 Tm 14.454 TL (Digital cadastre; Geoinformation/GI; Remote sensing; Standards)' ET /QuickPDFF868d47fa 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 661.0148 Tm 14.663 TL (SUMMARY)' ET /QuickPDFFab54356e 11 Tf 0 0 0 rg BT 1 0 0 1 56.6929 632.6683 Tm 14.454 TL (Airborne Laser Scanning \(ALS\) is one of the promising technology for automated generating building)' (models as it provides three dimensional coordinates of the scanned area. Furthermore, the availability of)' (advanced software tools enables the automatic extraction of particular geographic objects located on the)' (ground surface. The motivation of the conducted study was twofold, firstly open and free access to dense)' (LIDAR data \(12 points per 1 sq. meter\) stored in LAS binary format from national geoportal, maintained by)' (the Surveyor General, and secondly ongoing modernization of Polish cadaster. Hence this study aims to)' (investigate possibility of automatically extraction building's data from LAS data for the modernization of)' (buildings in the cadastre. The experiment was carried out in a housing estate in northern Warsaw, a typical)' (residential area, dominated by detached buildings and green infrastructure. ENVI LIDAR tools were used for)' (building extraction and planar rooftop surfaces delineation. Buildings, trees and other objects \(e.g., cars\))' (were separated based on geometric criteria, such as size, height and shape characteristics. The experimental)' (result showed that the proposed methodology achieved good results and was robust after adjusting the model)' (parameters to the specifics of the analysed area. Dense LAS data, offer fast and cost-effective ways of)' (extracting buildings for cadastral purposes.)' ET /QuickPDFFab54356e 10 Tf 0 0 0 rg BT 1 0 0 1 56.6929 150.7097 Tm 13.14 TL (__________________________________________________________________________________________)' ()' (Automated Building Extraction from Dense LIDAR Data \(11343\))' (Elzbieta Bielecka, Damian Wierzbicki and Olga Matuk \(Poland\))' ()' (FIG Congress 2022)' (Volunteering for the future - Geospatial excellence for a better living)' (Warsaw, Poland, 1115 September 2022)' ET endstream endobj 6 0 obj << /Length 316 /Filter /FlateDecode >> stream xMRKnCAۿSpk`y^Uu[jIɒT%C/:b}Rx\%=
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