Astro-Photogrammetry and 3D Reconstruction

• Define the basic principles of spatial data collection in space

• Identify the role of light in capturing geometric data

• Explain how lenses distort or clarify spatial input

• Calculate distance using observed movement between vantage points

• Locate key markers across multiple overlapping image sets

• Infer surface curvature from light intensity variations

• Orient images within a three-dimensional global reference frame

• Construct geometric meshes from point cloud data sets

• Project high resolution images onto complex 3D structures

• Minimize noise within processed spatial data sets

• Reconstruct small irregular bodies using mission data

• Analyze surface topography using shadow-based techniques

• Model planetary surfaces from light curve data

• Combine multiple sensor inputs for high fidelity models

• Evaluate emerging AI tools for automated space reconstruction