Objektna klasifikacija podatkov ortofota in laserskega skeniranja za aplikacijo v prostorskem načrtovanju

magistrsko delo

Dejan Jenko (Author), Krištof Oštir (Mentor), Bojan Stopar (Thesis defence commission member), Anka Lisec (Thesis defence commission member), Žiga Kokalj (Co-mentor), Mojca Foški (Co-mentor)

Abstract

V magistrski nalogi obravnavamo problematiko določitve nezazidanih stavbnih zemljišč, katerih podatki o lokaciji in površini so teţava 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 doseţe kakovost primerljivo ročnemu zajemu.

Keywords

geodezija;magistrska dela;GIG;objektna klasifikacija;prostorsko načrtovanje;nezazidana stavbna zemljišča;ortofoto;lidar;

Data

Language:	Slovenian
Year of publishing:	2017
Typology:	2.09 - Master's Thesis
Organization:	UL FGG - Faculty of Civil and Geodetic Engineering
Publisher:	[D. Jenko]
UDC:	528.7:711(043.3)
COBISS:	8202337
Views:	1004
Downloads:	471
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Cadastral land re-arranOrthophoto and lidar data object classification for application in spatial planning
Secondary 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.
Secondary keywords:	geodesy;master thesis;object classification;spatial planning;vacant building land;orthophoto;lidar;
Type (COBISS):	Master's thesis/paper
Study programme:	0
Thesis comment:	Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Pages:	VII, 61 str.
ID:	10910809