scholarly journals A Simple But Effective Approach of Building Footprint Extraction in Topographic Mapping Acceleration

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Danang Budi Susetyo ◽  
Aldino Rizaldy ◽  
Mochamad Irwan Hariyono ◽  
Nugroho Purwono ◽  
Fahrul Hidayat ◽  
...  
Author(s):  
Danang Budi Susetyo ◽  
Aldino Rizaldy ◽  
M. Irwan Hariyono ◽  
Nugroho Purwono ◽  
Fahrul Hidayat ◽  
...  

Topographic mapping using stereo plotting is not effective because it takes much time and labor-intensive. Thus, this research was conducted to find the effective way to extract building footprint for mapping acceleration. Building extraction method in this process comprises four steps: ground / non-ground filtering, building classification, segmentation, and building extraction. Non-ground points from filtering process were classified as building with the algorithm based on multi-scale local dimensionality to separate points at the maximum separability plane. Segmentation using segment growing was used to separate each building, so edge detection could be conducted for each segment to create boundary of each building. Lastly, building extraction was conducted through three steps: edge points detection, building delineation, and building regularization. With 10 samples and step 0.5, classification resulted quality and miss factor of 0.597 and 0.524, respectively. The quality was improved by segmentation process to 0.604, while miss factor was getting worse to 0.561. Meanwhile, on average shape index value from extracted building had 0.02 difference and the number of errors was 30% for line segment comparison. Regarding positional accuracy using centroid accuracy assessment, this method could produce RMSE of 1.169 meters.


2011 ◽  
Author(s):  
Youming Chen ◽  
Frank Kimpel ◽  
Jean-Luc Fouron ◽  
Jeffrey Chen ◽  
Shantanu Gupta
Keyword(s):  

Author(s):  
Mercedes Gauthier ◽  
Antoine Brassard-Simard ◽  
Mathieu Gauvin ◽  
Pierre Lachapelle ◽  
Jean-Marc Lina

RSC Advances ◽  
2019 ◽  
Vol 9 (14) ◽  
pp. 7757-7766 ◽  
Author(s):  
Yao Wu ◽  
Xin-Ying Gao ◽  
Xin-Hui Chen ◽  
Shao-Long Zhang ◽  
Wen-Juan Wang ◽  
...  

Our study gains insight into the development of novel specific ABCG2 inhibitors, and develops a comprehensive computational strategy to understand protein ligand interaction with the help of AlphaSpace, a fragment-centric topographic mapping tool.


2010 ◽  
Vol 15 (6) ◽  
pp. 066026 ◽  
Author(s):  
Anthony Kim ◽  
Mathieu Roy ◽  
Farhan N. Dadani ◽  
Brian C. Wilson
Keyword(s):  

2021 ◽  
Author(s):  
Jun Chen ◽  
Yuxuan Jiang ◽  
Linbo Luo ◽  
Yue Gu ◽  
Kangle Wu

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