%0 Journal Article
%T Automatic extraction and building change detection from digital surface model and multispectral orthophoto : Samodejen zajem in iskanje sprememb v topografskem sloju stavb iz digitalnega modela povr ja in multispektralnega ortofota
%A Dejan Grigillo
%A Mojca Kosmatin Fras
%A Du£¿an Petrovi£¿
%J Geodetski Vestnik
%D 2011
%I Association of Surveyors of Slovenia
%X Vzdr evanje podatkov v topografskih bazah je ena od pomembnej ih nalog organizacij, ki te podatkovne baze vodijo. Eden od pomembnih podatkovnih slojev v topografskih bazah so podatki o stavbah. V  lankusta opisani metoda za samodejen zajem stavb iz digitalnega modela povr ja in multispektralnega ortofota ter uporaba rezultatov zajema za samodejno iskanje sprememb v topografskih bazah, v katerih se vodijo podatki o stavbah. Za etno masko stavb smo izdelali iz normaliziranega digitalnega modela povr ja (nDMP). Vegetacijo smo iz maske stavb izlo ili z modificiranim vegetacijskim indeksom, izra unanim iz infrarde ega ortofota ob upo tevanju indeksa senc in teksture nDMP. Na kon ni maski smo stavbe vektorizirali z uporabo transformacije Radon. Rezultate samodejnega zajema stavb smo primerjali s katastrom stavb in dejanskim stanjem na terenu. Ssamodejnim postopkom smo na li 94,4 % vseh stavb na obmo ju in ocenili, da je opisana metoda primerna za zajem podatkov o stavbah za topografske baze v merilih 1 : 10 000 in manj. Rezultat samodejnegaiskanja sprememb (popolnost 93,5 % in pravilnost 78,4 %) ka e, da je opisana metoda primerna za iskanje sprememb med podatki o stavbah ; The update of topographic databases is an important task for organizations that maintain them. Building data are one of the important data types in topographic databases. The article describes a method for automatic building extraction from digital surfacemodel and multispectral orthophoto and the use of extraction results for the building change detection in the topographic database. The initial building mask was created from the normalized digital surface model (nDSM).Vegetation was eliminated from the building mask using a modified vegetation index calculated from the infrared orthophoto and also considering the shadow index and the nDMP texture. The finalbuilding mask was vectorised using Radon transform. The results of the automatic building extraction were compared to the building cadastre and the actual situation on the ground. The automatic methoddetected 94.4% of all buildings in the area. We concluded that the described method is appropriate for capturing of the building data for the topographic database in scales 1 : 10 000 and smaller. Automatic change detection results (completeness 93.5% and correctness 78.4%) indicate that the described method is appropriate for building change detection.
%K samodejni zajem stavb
%K iskanje sprememb
%K normalizirani digitalni model povr ja
%K multispektralni ortofoto
%K modificiran vegetacijski indeks
%K automatic building extraction
%K change detection
%K normalised digital surface model
%K multispectral orthophoto
%K modified vegetation index
%U http://www.geodetski-vestnik.com/55/1/gv55-1_028-045.pdf