- Autor
- Łęczek Aleksandra (Instytut Rozwoju Miast i Regionów), Jastrzębska Beata (Instytut Rozwoju Miast i Regionów)
- Tytuł
- Ekstrakcja zabudowy z wykorzystaniem wysokorozdzielczych ortofotomap oraz morfologii matematycznej
Building Extraction Using High-Resolution Orthophotos and Mathematical Morphology - Źródło
- Urban Development Issues, 2021, vol. 72, s. 29-41, rys., tab., bibliogr. 36 poz.
Problemy Rozwoju Miast - Słowa kluczowe
- Przestrzenne zagospodarowanie miasta, Zagospodarowanie przestrzenne, Geodezja, Kartografia
Town spatial development, Spatial development, Geodesy, Cartography - Uwagi
- streszcz., summ.
- Kraj/Region
- Aglomeracja poznańska, Gmina Komorniki
Poznań agglomeration, Komorniki Commune - Abstrakt
- Niniejsze badania stanowią próbę implementacji metod morfologii matematycznej do analizy wysokorozdzielczych zdjęć fotogrametrycznych w celu ekstrakcji zabudowy. Do analizy wykorzystano ortofotomapy składające się z 3 kanałów w barwach rzeczywistych (RGB), pochodzące z centralnego zasobu Głównego Urzędu Geodezji i Kartografii (GUGiK). Dane te cechuje dobra dostępność i wysoka rozdzielczość przestrzenna. Analizie poddano zobrazowania optyczne dla testowego obszaru na terenie gminy Komorniki, w obszarze podmiejskim Poznania. Przy pomocy morphological building index (MBI), morphological shadow index (MSI) oraz wskaźników kształtu podjęto próbę automatycznej detekcji budynków oraz ich cieni. Dokładność ekstrakcji zabudowy wyniosła około 64%. (abstrakt oryginalny)
This study is an attempt to implement mathematical morphology methods for the analysis of high-resolution photogrammetric images in order to extract buildings. The analysis was based on 3 spectral bands in real colors (RGB) of orthophotomaps from the Head Office of Geodesy and Cartography. The advantage of the data used is their availability and high spatial resolution. Raster images were analyzed for a test area located in the municipality of Komorniki, which is a suburban area of Poznań. With the help of Morphological building index (MBI), Morphological shadow index (MSI) and shape indicators, an attempt was made to automatically detect buildings and their shadows. The accuracy of building extraction was about 64%. (original abstract) - Dostępne w
- Biblioteka SGH im. Profesora Andrzeja Grodka
- Pełny tekst
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- Cytowane przez
- ISSN
- 1733-2435
- Język
- pol
- URI / DOI
- http://dx.doi.org/10.51733/udi.2021.72.03