US 12,437,408 B2
System and method of feature detection for airborne bathymetry
Marcus Nepveaux, Lafayette, LA (US); Jed Abanat, Houston, TX (US); and Anmol Sharan Nagi, Delta (CA)
Assigned to FNV IP B.V., Leidschendam (NL)
Filed by FNV IP B.V., Leidschendam (NL)
Filed on Dec. 6, 2022, as Appl. No. 18/076,190.
Prior Publication US 2024/0185423 A1, Jun. 6, 2024
Int. Cl. G06T 7/10 (2017.01)
CPC G06T 7/10 (2017.01) [G06T 2207/20084 (2013.01); G06T 2207/30181 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
obtaining a plurality of geospatial data inputs, each geospatial data input of the plurality of geospatial data inputs associated with a sample time and a surveyed area;
generating a plurality of features corresponding to each geospatial data input of the plurality of geospatial data inputs; and
generating, using a segmentation machine learning network, one or more segmentation masks for the plurality of geospatial data inputs,
wherein the segmentation machine learning network includes a segmentation decoder network trained on a plurality of training data inputs, each training data input comprising multiple annotated and rasterized bathymetry frames.