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研究生: 宋家良
Setiawan, Faizal Azmi
論文名稱: 以網際網路攝影測量及展圖平台開源軟體實現仿真三維模型於災害管理之應用
Application of Photo-realistic 3D Model for Disaster Management Using Web-based Open Source Photogrammetry and Mapping Platform
指導教授: 饒見有
Rau, Jiann-Yeou
學位類別: 碩士
Master
系所名稱: 工學院 - 測量及空間資訊學系
Department of Geomatics
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 76
外文關鍵詞: Photo-realistic 3D, Disaster Management, 3D Web GIS
相關次數: 點閱:78下載:3
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  • An effective disaster management is very important in order to lessen the impact of disaster. It defines into two phases, i.e. post-disaster and pre-disaster. Response is one of the important parts of the post-disaster phase. In order to provide the geospatial information about the disaster area, creating an innovative strategy and system can be an effective way to make a fast disaster response. In this research, a strategy to generate and display a photo-realistic 3D model through website is proposed in order to offer geospatial information about an area where was exposed by disaster. Nowadays, the advancement of web technology has caused a paradigm shift in the use of the website, especially for 3D contents. Web browsers have become effective platforms, as they are able to execute HTML5, JavaScript, WebGL, and OpenGL 3D graphics library that runs directly inside the browsers. WebODM (Open Drone Map) is an open-source cloud computational platform which is able to generate georeferenced maps, point clouds, elevation models and textured 3D models when user upload 2D UAV images into the WebODM. It provides some parameters that have significant changes over 3D model quality. After the user has upload all UAV images and setup the parameters, it will process the image through Structure-from-Motion method to obtain their interior and exterior orientation parameters. In 3D reconstruction phase, WebODM uses Patch-based Multi-View Stereo (PMVS) algorithm. PMVS is an image matching algorithm that uses a set of images as well as the camera parameters as inputs and then reconstructs the 3D model of an object or a scene that is visible in the images. The generated photo-realistic 3D texture model can be visualized in the CesiumJS website. It is an open-source JavaScript library for displaying world-wide 3D globes and maps. CesiumJS provide open standard format glTF as 3D model format. Generally, most 3D results are in OBJ format. Thus, the conversion from OBJ into glTF is necessary. The result of 3D texture model still has some holes on the occluded area, but the texture and color are well rendered. After that, CesiumJS will display the 3D model and some features about disaster management are integrated with the 3D model. It brings to the result that the combination between WebODM and CesiumJS would be a practical way to generate and visualize 3D model over Internet efficiently for disaster management purposes.

    ABSTRACT I ACKNOWLEDGEMENTS III TABLE OF CONTENTS IV LIST OF TABLES VI LIST OF FIGURES VII LIST OF ACRONYMS X CHAPTER 1 INTRODUCTION 1 1.1 Background 1 1.2 Motivation 3 1.3 Research Methods and Experiments 5 1.4 Thesis Structure 6 CHAPTER 2 LITERATURE REVIEW 7 2.1 Disaster Management 7 2.2 Photo-realistic 3D Model 9 2.3 WebODM 11 2.4 Cesium 12 2.5 Binary glTF 14 2.6 Patch-based Multi-View Stereo (PMVS) 16 2.7 Structure from Motion (SfM) 17 CHAPTER 3 METHODOLOGY 19 3.1 Study Area and Material 19 3.1.1 Hardware Tools 20 3.1.2 XAMPP 20 3.1.3 Docker 21 3.1.4 Meshlab 22 3.1.5 Obj2gltf 23 3.2 System Architecture 24 3.3 Workflow 26 3.4 UAV Image Acquisition 28 3.5 Install WebODM 30 3.6 Generate Photo-realistic 3D Model in WebODM 32 3.7 3D Model Refinement and Conversion 34 3.8 Create User Environment in CesiumJS 36 3.9 Visualize 3D Model in CesiumJS 38 3.10 Add Information on 3D Model 40 CHAPTER 4 RESULTS AND DISCUSSIONS 43 4.1 Photo-realistic 3D Model Result by WebODM 43 4.2 Comparison of 3D Model Result 51 4.2.1 Point Cloud Comparison 51 4.2.2 3D Texture Mesh Comparison 58 4.3 3D Model Refinement Result 62 4.4 3D Model Visualization in Website 66 4.5 Information Feature on 3D Model 67 4.5.1 Hualien 3D Model 68 4.5.2 Tainan 3D Model 70 CHAPTER 5 CONCLUSIONS AND SUGGESTIONS 72 5.1 Conclusions 72 5.2 Suggestions 73 REFERENCES 74

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