%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 << /QuickPDFFf4d2b639 74 0 R /QuickPDFFc8fa7d58 123 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 124 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:20170615105949+02'00') /ModDate (D:20170615105949+02'00') >> endobj 5 0 obj << /Length 3163 /LC /iSQP >> stream 0 Tr /QuickPDFFc8fa7d58 14 Tf 0 0 0 rg 100 Tz 0 Tw 0 Tc 0 Ts BT 1 0 0 1 82.3808 770.8329 Tm (Automatic Extraction of Oblique Roofs for Buildings from Point Clouds)Tj 1 0 0 1 118.7528 752.1709 Tm (Produced by High Resolution Colur-Infrared Aerial Images)Tj ET /QuickPDFFc8fa7d58 11 Tf 0 0 0 rg BT 1 0 0 1 117.2213 717.2179 Tm (Hayrettin Acar, Mehmet Ozturk, Fevzi Karsli and Mustafa Dihkan \(Turkey\))Tj ET /QuickPDFFc8fa7d58 12 Tf 0 0 0 rg BT 1 0 0 1 56.6929 675.495 Tm 15.996 TL (Key words: )' ET /QuickPDFFf4d2b639 12 Tf 0 0 0 rg BT 1 0 0 1 141.7323 675.495 Tm 15.768 TL (Photogrammetry; Remote sensing; "building extraction, oblique roof points, dense)' (image matching")' ET /QuickPDFFc8fa7d58 12 Tf 0 0 0 rg BT 1 0 0 1 56.6929 632.9753 Tm 15.996 TL (SUMMARY)' ET /QuickPDFFf4d2b639 12 Tf 0 0 0 rg BT 1 0 0 1 56.6929 604.6289 Tm 15.768 TL (Automatic creation of the 3D city models and keeping up to date are important topics in many)' (disciplines. Generating the 3D city models quickly and automatically depends on producing some)' (of models details \(buildings, vegetation, roads etc.\) and digital elevation model. Nowadays, the)' (aerial laser scanner system and the aerial imaging technologies are preferred for collection of the)' (digital elevation models and 3D city model details.)' ()' (This study presents an automatic detection technique for extraction of building oblique roof and)' (vegetation from dense image matching point clouds by Semi Global Matching \(SGM\) algorithm)' (applied on high resolution colour-infrared \(CIR\) digital aerial images. The high resolution \(GSD 8)' (cm\) colour-infrared images from Vaihingen-Data Set \(ISPRS benchmark Project, consisting of)' (historic buildings with roads and trees\) were used for producing the coloured 3D point clouds by)' (SGM. )' ()' (The study consists of three steps; firstly, the vegetation points were detected by using NDVI mask)' (from the infrared-coloured 3D point clouds. Then, the bare-earth points were extracted by)' (Progressive TIN densification algorithm from the 3D point clouds that have been eliminated the)' (vegetation points. As a final step, the oblique roof planes were obtained by Random Sample)' (Consensus \(RANSAC\) from the latest point cloud without the vegetation and the bare-earth points.)' (The results were evaluated by comparing to manually acquired reference building data. Three)' (quality measures \(Completeness, Correctness, Quality\) were used for accuracy assessment.)' (According to the quality measures, the proposed algorithm is successful for automatic extraction of)' (oblique roof planes.)' ET /QuickPDFFf4d2b639 10 Tf 0 0 0 rg BT 1 0 0 1 56.6929 163.8497 Tm 13.14 TL (__________________________________________________________________________________________)' ()' (Automatic Extraction of Oblique Roofs for Buildings from Point Clouds Produced by High Resolution Colur-Infrared)' (Aerial Images \(9002\))' (Hayrettin Acar, Mehmet Ozturk, Fevzi Karsli and Mustafa Dihkan \(Turkey\))' ()' (FIG Working Week 2017)' (Surveying the world of tomorrow - From digitalisation to augmented reality)' (Helsinki, Finland, May 29June 2, 2017)' ET endstream endobj 6 0 obj << /Length 316 /Filter /FlateDecode >> stream xMRKnCAۿSpk`y^Uu[jIɒT%C/:b}Rx\%=
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