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.
Active Contour, Automatic, Building Extraction, High Resolution Image
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik, Ortak Disiplinler |
Bölüm | Articles |
Yazarlar |
|
Yayımlanma Tarihi | 1 Şubat 2018 |
Yayınlandığı Sayı | Yıl 2018, Cilt 3, Sayı 1 |
Bibtex | @araştırma makalesi { ijeg373152, journal = {International Journal of Engineering and Geosciences}, eissn = {2548-0960}, address = {}, publisher = {Murat YAKAR}, year = {2018}, volume = {3}, number = {1}, pages = {36 - 42}, doi = {10.26833/ijeg.373152}, title = {Automatic extraction of building boundaries from high resolution images with active contour segmentation}, key = {cite}, author = {Akbulut, Zeynep and Özdemir, Samed and Acar, Hayrettin and Dihkan, Mustafa and Karslı, Fevzi} } |
APA | Akbulut, Z. , Özdemir, S. , Acar, H. , Dihkan, M. & Karslı, F. (2018). Automatic extraction of building boundaries from high resolution images with active contour segmentation . International Journal of Engineering and Geosciences , 3 (1) , 36-42 . DOI: 10.26833/ijeg.373152 |
MLA | Akbulut, Z. , Özdemir, S. , Acar, H. , Dihkan, M. , Karslı, F. "Automatic extraction of building boundaries from high resolution images with active contour segmentation" . International Journal of Engineering and Geosciences 3 (2018 ): 36-42 <https://dergipark.org.tr/tr/pub/ijeg/issue/31117/373152> |
Chicago | Akbulut, Z. , Özdemir, S. , Acar, H. , Dihkan, M. , Karslı, F. "Automatic extraction of building boundaries from high resolution images with active contour segmentation". International Journal of Engineering and Geosciences 3 (2018 ): 36-42 |
RIS | TY - JOUR T1 - Automatic extraction of building boundaries from high resolution images with active contour segmentation AU - Zeynep Akbulut , Samed Özdemir , Hayrettin Acar , Mustafa Dihkan , Fevzi Karslı Y1 - 2018 PY - 2018 N1 - doi: 10.26833/ijeg.373152 DO - 10.26833/ijeg.373152 T2 - International Journal of Engineering and Geosciences JF - Journal JO - JOR SP - 36 EP - 42 VL - 3 IS - 1 SN - -2548-0960 M3 - doi: 10.26833/ijeg.373152 UR - https://doi.org/10.26833/ijeg.373152 Y2 - 2018 ER - |
EndNote | %0 International Journal of Engineering and Geosciences Automatic extraction of building boundaries from high resolution images with active contour segmentation %A Zeynep Akbulut , Samed Özdemir , Hayrettin Acar , Mustafa Dihkan , Fevzi Karslı %T Automatic extraction of building boundaries from high resolution images with active contour segmentation %D 2018 %J International Journal of Engineering and Geosciences %P -2548-0960 %V 3 %N 1 %R doi: 10.26833/ijeg.373152 %U 10.26833/ijeg.373152 |
ISNAD | Akbulut, Zeynep , Özdemir, Samed , Acar, Hayrettin , Dihkan, Mustafa , Karslı, Fevzi . "Automatic extraction of building boundaries from high resolution images with active contour segmentation". International Journal of Engineering and Geosciences 3 / 1 (Şubat 2018): 36-42 . https://doi.org/10.26833/ijeg.373152 |
AMA | Akbulut Z. , Özdemir S. , Acar H. , Dihkan M. , Karslı F. Automatic extraction of building boundaries from high resolution images with active contour segmentation. IJEG. 2018; 3(1): 36-42. |
Vancouver | Akbulut Z. , Özdemir S. , Acar H. , Dihkan M. , Karslı F. Automatic extraction of building boundaries from high resolution images with active contour segmentation. International Journal of Engineering and Geosciences. 2018; 3(1): 36-42. |
IEEE | Z. Akbulut , S. Özdemir , H. Acar , M. Dihkan ve F. Karslı , "Automatic extraction of building boundaries from high resolution images with active contour segmentation", International Journal of Engineering and Geosciences, c. 3, sayı. 1, ss. 36-42, Şub. 2018, doi:10.26833/ijeg.373152 |