CPC G06V 20/182 (2022.01) [G06V 10/751 (2022.01); G06V 20/176 (2022.01); G06V 20/584 (2022.01); G06V 10/58 (2022.01); G06V 20/194 (2022.01)] | 19 Claims |
1. A computer-implemented method of automated road nets pork identification, said computer programmed to implement the steps of:
receiving a single multi-band image including a first set of band images and a second set of band images collected with a time lag relative to the first set;
exploiting the time lag between the first and second sets to detect moving vehicles in the single multi-band image;
using the detected moving vehicles to extract pixel values from the single multi-band image at pixels adjacent to the locations of the detected moving vehicles to characterize at least one image-specific spectral roadway signature by
computing a candidate spectral roadway signature from the pixels adjacent each detected moving vehicle;
measuring a speed of each detected moving vehicle;
including the speed as an additional dimension in the candidate spectral roadway signature for each detected moving vehicle; and
clustering the candidate spectral roadway signatures to identify said at least one image-specific spectral roadway signature, wherein the at least one image-specific spectral roadway signal does not include speed as a dimension;
searching the single multi-band image to match the at least one image-specific spectral roadway signature to pixel values for each of the bands for groupings including at least one pixel to grow a road network map.
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