Geo-Information Technologies of Object Based Image Analysis (OBIA) for Urban Mapping

Polina Lemenkova (1)

1 OUC - Ocean University of China

Current work is aimed at the deriving of information from the remote sensed VHR data using a priori knowledge in the Object Based Image Analysis (OBIA) approach. OBIA technology is new and effective tool for urban mapping, as it enables dealing with raster images for detailed and precise cartography. Specific focus of this study is selected urban areas of the city of Brussels, Belgium. The study is performed using panchromatic very high resolution (VHR) image processed in the eCognition software. The operation “Multi-resolution Segmentation” was chosen for image processing, as this is one of the most important image processing tools. During segmentation the image was divided up into large homogeneous regions and isolated shapes into the separate polygons within the study area. This procedure was performed at a different scale factors to adjust local conditions, such as urban structures, contrast factors, topology, etc. The four first layers in the layers legend represent multispectral image, while the fifth layer belongs to the panchromatic image. These two images were processed, in order to benefit from the high spatial and spectral resolution of the images which have different properties. Besides, processing of both of them gave various results: the panchromatic VHR image enabled to achieve very detailed segmentation of the image. The nearest neighbour classifies subdivide image into objects based on the image sample using mean spectral signature values of the objects. The results are presented by accurate geographic classification of the raster image. The objects are grouped into the separated classes connected with each other according to the hierarchical values of their features. The target objects are detected using existing knowledge which helped to find out what information exists in the objects based on training test areas. The classification is done using nearest neighbour principle after the manual defining of the number of sample objects. The method of the multiresolution segmentation procedure using OBIA approach was applied to the image in eCognition software and the image was processed. The classification is based on the segmentation of the whole image into meaningful polygons, according to the fuzzy logic approach and nearest neighbour classifier which is similar to the supervised classification in usual image analysis software. The work proved effectiveness of the object based image analysis approach for satellite data processing in urban mapping.

Mots clés: OBIA; Image Analysis; Image classification; Image segmentation; Image segmentation process; Urban mapping; GIS; Geoinformatics; Geoinformation; Cartographic analysis; Spatial analysis

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement des images [eess.IV]; Géographie; Informatique; Géométrie algorithmique [cs.CG]; Géophysique [physics.geo-ph]

Polina Lemenkova. Geo-Information Technologies of Object Based Image Analysis (OBIA) for Urban Mapping. Questions of Cybersecurity, Modeling and Information Processing in the Modern Socio-Technical Systems, Kursk State University (KSU), May 2015, Kursk, Russia. pp.109-111, ⟨10.6084/m9.figshare.7211633⟩. ⟨hal-01963669⟩