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Analysis and Exploitation of Automatically Generated Scene Structure from Aerial Imagery

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Figure

Figure 1.1:Physical modeling is performed in this work with two scenarios in mind.The first is with the addition of hyperspectral reflectance imagery, allowing for a directmapping of spectra onto facets
Figure 2.2: Parallel lines viewed from a angled perspective often appear as though if ex-tended they will eventually intersect (this intersection point is called the point at infinity).
Figure 2.5: The camera frame is often rotated relative to the world frame. In order tobring a world point into the camera frame, the point must be rotated and translated intothe frame.
Figure 2.7: SIFT calculates the position of the features in x,y, and scale space (convolvedwith Gaussians) for each image
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Outline

Fundamental Matrix Derivation Relative Camera Pose Estimation Feature Matching Optimization Using RANSAC Discussion Obtaining an Accurate Coordinate System Constructing a Confidence Metric for Voxel-Based Estimated Sur- Reflectance Attribution Through Hyperspectral Imagery k-Means Clustering Sensitivity Study Conclusions Calculating the Minimum Normalized Cut

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