TY  - JOUR
TI  - AUTOMATIC EXTRACTION OF BUILDING BOUNDARIES FROM HIGH RESOLUTION IMAGES WITH ACTIVE CONTOUR SEGMENTATION
AB  - Building extraction from remotely sensed images plays an important role in many applications such asupdating geographical information system, change detection, urban planning, disaster management and 3D buildingmodeling. 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, automaticbuilding 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 boundaryof buildings for this study. To extract object boundaries, the model grows or shrinks the initial contour in the image. Themain objective of this paper is making active contours algorithm perform without user interaction and to detectautomatically initial contours to segment buildings with a software coded in Matlab. This task carried out bymorphological operations, band ratio and thresholding methods. In this study, high resolution aerial images with 8 cmground sampling distance (GSD) were used. Three separate test zones were selected with varying building level of detailon these images. Finally, it was assessed the accuracy of segmented buildings using Correctness, Completeness andQuality 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 simplegeometry and homogeneous roof textures. However accuracy of extracted buildings with heterogeneous roof textures andlighting, and complex geometry is 89%. The results clearly show that automatically calculated initial contour positionswork in accordance with the active contour algorithm and easily extraction of the buildings boundaries.
AU  - Karsli, Fevzi
AU  - Acar, Hayrettin
AU  - Özdemir, Samed
AU  - DIHKAN, Mustafa
AU  - Akbulut, Zeynep
DO  - 10.26833/ijeg.373152
PY  - 2018
JO  - International Journal of Engineering and Geosciences
VL  - 3
IS  - 1
SN  - 2548-0960
SP  - 36
EP  - 42
DB  - TRDizin
UR  - http://search/yayin/detay/377284
ER  -