多元空間資料整合應用於房屋變遷偵測及重建;Intergration of Multi-Sousce Spatial Data for Building Change Detection and Reconstruction

NCUIR > Research Center > Center for Space and Remote Sensing Research > Research Project > Item 987654321/62399

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/62399

Title:	多元空間資料整合應用於房屋變遷偵測及重建;Intergration of Multi-Sousce Spatial Data for Building Change Detection and Reconstruction
Authors:	陳良健
Contributors:	國立中央大學太空及遙測研究中心
Keywords:	太空科技
Date:	2012-12-01
Issue Date:	2014-03-17 11:31:54 (UTC+8)
Publisher:	行政院國家科學委員會
Abstract:	研究期間：10108~10207;In recent years, 3D city modeling is one of the important topics in geoinformatics research. The most important reconstruction target in the research is building models. In the city scale, the 3D building models reconstruction needs plenty of time, human resources and cost. Considering the changes over a period of time, it also needs to reconstruct the buildings only for the change regions. Therefore, the main goal of this investigation is to propose an effective building modeling procedure by the fusion of aerial imagery and Lidar data to update the original building models. This project will perform for three years. In the first year, the multi-source data registration is the main objective. The data sets include aerial imagery, Lidar data and 3D building models. Because of the different acquisition time, it may exist geometric discrepancy among those data sets. We, thus, propose an automatic registration procedure. It includes two parts, one is to analyze the features in parameter space and the other is the geometric distance analysis. The reconstruction process then follows the registration. It has two stages, the first one is the change detection followed by the 3D building reconstruction. The task of the second year is to detect changed building regions using the latest aerial imagery and Lidar data. In the third year, we will integrate aerial imagery and Lidar data for 3D building reconstruction in changed regions. The step will reconstruct the details on the roof top of building models.
Relation:	財團法人國家實驗研究院科技政策研究與資訊中心
Appears in Collections:	[Center for Space and Remote Sensing Research ] Research Project

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