System and method for vegetation detection from aerial photogrammetric multispectral data
AssigneeThe Governing Council of the University of Toronto
InventorsAravind Harikumar, Ingo Ensminger
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AssigneeThe Governing Council of the University of Toronto
InventorsAravind Harikumar, Ingo Ensminger
Estimating the term…
Systems and methods for vegetation detection from aerial photogrammetric multispectral data. The method includes: detecting apexes in a height model using Local Maxima (LM) detection; detecting vegetation as detected apexes; performing orthorectification to derive an orthomosaic; generating a fractional map of a vegetation class by applying a Fuzzy classifier on the orthomosaic using the detected vegetation to define the class; generating a binary ridge map using the height model to identify ridges; combining the binary ridge map and the fractional map of the vegetation class to generate a ridge integrated fractional map; performing delineation of individual vegetation on the ridge integrated fractional map on a vegetation class using an active contour algorithm; and outputting the delineated vegetation.
A computer-implemented method for vegetation detection from aerial photogrammetric multispectral data, the method comprising:
A system for vegetation detection from aerial photogrammetric multispectral data, the aerial photogrammetric multispectral data capturing a plurality of vegetation, the system comprising one or more processors and a data storage, the one or more processors in communication with the data storage and configured to execute:
Dependencies are inferred from the claim text.