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Objektna klasifikacija podatkov ortofota in laserskega skeniranja za aplikacijo v prostorskem načrtovanju : magistrsko delo
ID Jenko, Dejan (Author), ID Oštir, Krištof (Mentor) More about this mentor... This link opens in a new window, ID Kokalj, Žiga (Co-mentor), ID Foški, Mojca (Co-mentor)

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MD5: 0B0C4F2F4DE5384DE7A3720C0AC945AA
PID: 20.500.12556/rul/8cae4a49-a020-4ace-8f54-ec1f8d0eb719

Abstract
V magistrski nalogi obravnavamo problematiko določitve nezazidanih stavbnih zemljišč, katerih podatki o lokaciji in površini so težava marsikatere občine. Kljub temu da je ročno posodabljanje podatkovnih slojev časovno in finančno zahtevno, se postopki samodejnega posodabljanja le redko uporabljajo. Metodologija določitve nezazidanih stavbnih zemljišč, predstavljena v pričujoči magistrski nalogi, temelji na sodobnih postopkih objektno usmerjene analize, s katero določimo pokrovnost zemljišč in interpretacijo zazidanih stavbnih zemljišč. S prostorskim presekom v GIS okolju in obdelavo (čiščenjem) podatkov ustvarimo sloj potencialno nezazidanih stavbnih zemljišč. Zasnovano metodologijo smo preizkusili na treh študijskih območjih v Občini Trebnje, rezultate – sloje nezazidanih stavbnih zemljišč - pa primerjali s slojem, ustvarjenim na podlagi vizualne interpretacije in vektorizacije. Ugotovili smo, da avtomatski zajem nezazidanih stavbnih zemljišč ob dopolnjevanju z ročnim zajemom lahko doseže kakovost primerljivo ročnemu zajemu.

Language:Slovenian
Keywords:objektna klasifikacija, prostorsko načrtovanje, nezazidana stavbna zemljišča, ortofoto, lidar
Work type:Master's thesis/paper (mb22)
Typology:2.09 - Master's Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2017
Publisher:[D. Jenko]
PID:20.500.12556/RUL-96464 This link opens in a new window
UDC:528.7:711(043.3)
COBISS.SI-ID:8202337 This link opens in a new window
Publication date in RUL:02.10.2017
Views:1121
Downloads:478
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Secondary language

Language:English
Title:Orthophoto and lidar data object classification for application in spatial planning : Master thesis
Abstract:
In presented master thesis we are dealing with problematics of delineating vacant building lands. Precise data about location and area of such plots of land are a major problem of many municipalities in Slovenia. Manually updating such spatial data demands extensive financial budget and is often time consuming. However, automatic updating is only rarely used. Presented methodology of delineating vacant building lands uses modern concepts of object-based classification to produce land cover layer and built up areas. Using GIS and spatial overlays we create potentially vacant building lands layer, which is further investigated and enhanced. As a result, we present approximated layer of vacant building lands. Presented methodology was tested on three study areas in municipality Trebnje and results were compared to vacant building lands layer created with visual interpretation and vectorisation. As results show, automated delineation of vacant building land combined with visual interpretation can achieve comparable quality as visual interpretation only.

Keywords:object classification, spatial planning, vacant building land, orthophoto, lidar

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