US 11,941,878 B2
Automated computer system and method of road network extraction from remote sensing images using vehicle motion detection to seed spectral classification
Grant B. Boroughs, Southlake, TX (US); John J. Coogan, Bedford, TX (US); and Lisa A. McCoy, Springfield, VA (US)
Assigned to Raytheon Company, Tewksbury, MA (US)
Filed by Raytheon Company, Tewksbury, MA (US)
Filed on Jun. 25, 2021, as Appl. No. 17/358,850.
Prior Publication US 2022/0414376 A1, Dec. 29, 2022
Int. Cl. G06V 20/58 (2022.01); G06V 10/75 (2022.01); G06V 20/10 (2022.01); G06V 10/58 (2022.01)
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
OG exemplary drawing
 
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.