Detecting roads in aerial images using feature-based classifiers
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorsFatih Porikli, Jie Shao
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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.
Claims15
A method for detecting roads in an aerial image of ground topology, comprising:
- determining low-level features for each pixel in an aerial image of ground topology;
- determining middle-level features for each pixel from the low-level features;
- placing a first window over each pixel, the first window including adjacent pixels to each pixel;
- determining high-level features for all of the pixels in the first window from the middle-level features of all of the pixels in the first window;
- and
- assigning a single probability to each pixel based on the high-level features, the single probability indicating a likelihood that the pixel is associated with a road.
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