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How to automatically produce 3D maps of UN base camp using UAVs?. Sun Wei Li Qingyang. INTRODUCTION. Objectives : Identifying UN base camp and providing 3D information of base camp in real time UAVs: H igh temporal and spatial resolution survey
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How to automatically produce 3D maps of UN base camp using UAVs? Sun Wei Li Qingyang
INTRODUCTION Objectives: Identifying UN base camp and providing 3D information of base camp in real time UAVs: • High temporal and spatial resolution survey • Can be applied in high risk situations and inaccessible areas. • The platforms and sensors are low-cost and easy for control • Both nadir and oblique images can be acquired • DSM/DTM, contour lines, textured 3D models, vector data, and point cloud could be generated.
Problem • inaccurate feature extraction from point clouds • not fully automatic processing • time consuming in dense matching algorithm calculation and relatively low accuracy • our focus is to propose an approach which is fully automatic in image orientation and dense matching, and also an algorithm in building detection and reconstruction with a high level of automation.
Methodology • Image-based modeling (IBM) is a technique which generates 3D models from two or more images. • The current image-based modeling have developed with the technique of Structure from motion (SfM) which refers to the process of extracting three dimensional structures of the scene as well as camera motions from two-dimensional image sequences. • A model-driven approach based on the method proposed by (Maas & Vosselman, 1999) was applied in 3D modeling.
Image Acquisition Data and Process Image Pre-Processing Image Orientation Bundle Block Adjustment Dense Matching Filtering, interpolation Point Clouds Segmentation Classification Outline Extraction UN camp Reconstruction Labeling 3D Map
result Refine work such as texturing of models from oblique images and labeling the 3D map are still needed.