AUTOMATIC EXTRACTION OF BUILDING BOUNDARIES FROM HIGH RESOLUTION IMAGES WITH ACTIVE CONTOUR SEGMENTATION
| Autor: | Zeynep Akbulut, Samed Özdemir, Fevzi Karsli, Mustafa Dihkan, Hayrettin Acar |
|---|---|
| Přispěvatelé: | Akbulut, Zeynep |
| Rok vydání: | 2018 |
| Předmět: |
active contour
010504 meteorology & atmospheric sciences Computer science lcsh:Geodesy ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Engineering Multidisciplinary 02 engineering and technology 01 natural sciences Software lcsh:Engineering geology. Rock mechanics. Soil mechanics. Underground construction high resolution image Segmentation Computer vision Visibility 021101 geological & geomatics engineering 0105 earth and related environmental sciences lcsh:QB275-343 Active contour model business.industry [No Keywords] Ground sample distance Mühendislik Ortak Disiplinler Active Contour Automatic Building Extraction High Resolution Image Thresholding lcsh:TA1-2040 lcsh:TA703-712 automatic Artificial intelligence building extraction lcsh:Engineering (General). Civil engineering (General) business Change detection Level of detail |
| Zdroj: | International Journal of Engineering and Geosciences, Vol 3, Iss 1, Pp 37-42 (2018) Volume: 3, Issue: 1 36-42 International Journal of Engineering and Geosciences |
| ISSN: | 2548-0960 0004-4474 |
| Popis: | Building extraction from remotely sensed images plays an important role in many applications such as updating geographical information system, change detection, urban planning, disaster management and 3D building modeling. Automatic extraction of buildings from aerial images is not an easy task because of background complexity, lighting conditions and vegetation cover that reduces separability or visibility of buildings. As a result, automatic building extraction can be a complex process for computer vision and image processing techniques. In order to overcome this difficulty region-based active contour model was used to automatically detect the boundary of buildings for this study. To extract object boundaries, the model grows or shrinks the initial contour in the image. The main objective of this paper is making active contours algorithm perform without user interaction and to detect automatically initial contours to segment buildings with a software coded in Matlab. This task carried out by morphological operations, band ratio and thresholding methods. In this study, high resolution aerial images with 8 cm ground sampling distance (GSD) were used. Three separate test zones were selected with varying building level of detail on these images. Finally, it was assessed the accuracy of segmented buildings using Correctness, Completeness and Quality metrics by comparing the results images and manually digitized reference image. The proposed approach for building extraction from images was shown to be 98% accurate on buildings with simple geometry and homogeneous roof textures. However accuracy of extracted buildings with heterogeneous roof textures and lighting, and complex geometry is 89%. The results clearly show that automatically calculated initial contour positions work in accordance with the active contour algorithm and easily extraction of the buildings boundaries. WOS:000444747700005 |
| Databáze: | OpenAIRE |
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