Change detection of building models from multi-source geodata

Liang Chien Chen, Chih Yuan Huang, Tee Ann Teo, Chao Yuan Lo

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Three dimensional building models provide valuable spatial information for decision support. It is preferable to maintain a building database by firstly detecting the changes followed by a reconstruction procedure. Change detection is traditionally done using multi-temporal images through spectral analyses. Those images provide two-dimensional spectral information without including shape in the third dimension. As the availability and quality of emerging LIDAR systems that make the acquisition of shape information convenient, we use new LIDAR point clouds and aerial photos to detect changes for building models. The proposed scheme comprises data pre-processing and change detection on building areas. The validation for determination of change types shows that the results can reach 86% overall accuracy for those buildings with complicated roof structure. To provide comprehensive observations, those unreliable results are scrutinized.

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主出版物標題29th Asian Conference on Remote Sensing 2008, ACRS 2008
頁面938-943
頁數6
出版狀態已出版 - 2008
事件29th Asian Conference on Remote Sensing 2008, ACRS 2008 - Colombo, Sri Lanka
持續時間: 10 11月 200814 11月 2008

出版系列

名字29th Asian Conference on Remote Sensing 2008, ACRS 2008
2

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???event.eventtypes.event.conference???29th Asian Conference on Remote Sensing 2008, ACRS 2008
國家/地區Sri Lanka
城市Colombo
期間10/11/0814/11/08

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