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Image Capture, Correction, Orthorectification, and Photogrammetry
PTYS Lecture 4 Eyjafjallajökull, Iceland
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Parallax
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Triangulation
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Summary There is no such thing as a standard camera. Every camera design involves a series of trade-offs that are balanced to address a particular problem. Images include many forms of distortion that must be corrected for to use the data in a quantitative fashion. Examples include photogrammetric correction, geometric correction, and othorectification. Shadow measurements can help to provide inforation about the relief of features within a scene, but are prone to many sources of error due to the unknown orientation of objects and ground slopes within a scene, as well as diffuse shadows and albedo variations within the target material Light Detection And Ranging (LiDAR) provides absolute control on the elevation of surfaces (defined relative to a datum), but laser shot spacing may be large, thereby requiring signifignt interpolation between highly accurate and precise spot measurements. Photogrammetry and LiDAR are complementary, with high resolution stereo-images enabling vastly improved spatial resolution, but benefiting from ranging data (or ground control points) to ensure that the relative elevations calculated through photogrammetry are tied to a datum.
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