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A Refining Method for Building Object Aggregation and Footprint Modelling Using Multi-source Data : Volume Xxxix-b3, Issue 1 (23/07/2012)

By Li, Y.

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Book Id: WPLBN0004016532
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: A Refining Method for Building Object Aggregation and Footprint Modelling Using Multi-source Data : Volume Xxxix-b3, Issue 1 (23/07/2012)  
Author: Li, Y.
Volume: Vol. XXXIX-B3, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Historic
Publication Date:
2012
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Tachibana, K., Shimamura, H., Li, Y., & Zhu, L. (2012). A Refining Method for Building Object Aggregation and Footprint Modelling Using Multi-source Data : Volume Xxxix-b3, Issue 1 (23/07/2012). Retrieved from http://www.hawaiilibrary.net/


Description
Description: International Institute for Earth System Science, Nanjing University, Jiangsu, China, 210093,. Automatically detection, extraction and re-construction of 3D building modelling are difficult yet potentially high-payoff challenges for photogrammetric applications. Solution usually requires integrating various sources, including LIDAR, imagery, and digital surface models (DSM). However, highly automated and robust geometric modelling remains unsolved. We will present a 2D modelling technique which represents a building’s outline in an as-is way. It gives visually accurate corners and lines for buildings. Aerial remotely sensed imagery and a DSM are used to detect and segment building masks. A refining footprint modelling is implemented through line modelling, edge refining, and segment merging and generating. A district grouping based main orientation algorithm is proposed. This approach has the ability of successive improvement, moving from a prototype to a subtle end product. Experiments with Japanese data show that the models generated automatically fit the manual models very well.

Summary
A REFINING METHOD FOR BUILDING OBJECT AGGREGATION AND FOOTPRINT MODELLING USING MULTI-SOURCE DATA

 

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