Detecting roads in aerial images using feature-based...

Image analysis – Pattern recognition – Feature extraction

Reexamination Certificate

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C382S266000

Reexamination Certificate

active

10961926

ABSTRACT:
A method detects roads in an aerial image of ground topology by determining low-level features, such as intensities and gradients, for each pixel in the aerial image, determining middle-level features, such as an orientation for each pixel from the low-level features, and determining high-level features from the middle-level features. Each high-level feature is assigned a probability, and the probabilities of the high-level features for each pixel are normalized and aggregated to a single probability that the pixel is associated with a road.

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