Name
Title | ||
|---|---|---|
An Efficient Approach for Automatic Rectangular Building Extraction From Very High Resolution Optical Satellite Imagery |
Abstract | ||
|---|---|---|
This letter presents a new approach for rapid automatic building extraction from very high resolution (VHR) optical satellite imagery. The proposed method conducts building extraction based on distinctive image primitives such as lines and line intersections. The optimized framework consists of three stages: First, a developed edge-preserving bilateral filter is adopted to reduce noise and enhance building edge contrast for preprocessing. Second, a state-of-the-art line segment detector called EDLines is introduced for the real-time accurate extraction of building line segments. Finally, we present a graph search-based perceptual grouping approach to hierarchically group previously detected line segments into candidate rectangular buildings. The recursive process was improved through the efficient examination of geometrical information with line linking and closed contour search, in order to obtain more reasonable omission and commission rate in building contour grouping. Extensive experiments performed on VHR optical QuickBird imageries justify the effectiveness and robustness of the proposed linear-time procedure with an overall accuracy of 80.9% and completeness of 87.3%. This method does not require user intervention and thereby has the potential to be adopted in online applications and industrial use in the near future. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2014.2347332 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
edge preserving bilateral filter,remote sensing,automatic rectangular building extraction,building edge contrast enhancement,quickbird imageries,edlines,perceptual grouping,distinctive image primitives,geospatial object-based image analysis (geobia),image line intersections,building extraction,very high resolution (vhr),feature extraction,noise reduction,image lines,geophysical image processing,vhr optical satellite imagery,line linking,buildings (structures),perceptual grouping approach,closed contour search,line segment detection,image segmentation,satellites,accuracy,image resolution | Computer vision,Graph,Line segment,Satellite imagery,Remote sensing,Robustness (computer science),Preprocessor,Artificial intelligence,Bilateral filter,Completeness (statistics),Mathematics,Recursion | Journal |
Volume | Issue | ISSN |
12 | 3 | 1545-598X |
Citations | PageRank | References |
10 | 1.18 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Wang | 1 | 13 | 5.63 |
| Xiucheng Yang | 2 | 32 | 7.04 |
| Xuebin Qin | 3 | 32 | 7.95 |
| Xin Ye | 4 | 25 | 8.36 |
| Qi-ming Qin | 5 | 158 | 49.12 |