Currently I am using supervisory classification algorithms to calculate the landuse within a certain image, the issue being the images are sourced from high oblique photography. I know the focal length and dimensions of the camera used, and the GPS position of where the photographs where taken.
I am looking for resources that will enable me to calculate the areas of the landuse from the information I already have. The idea being that if knowing the geometry of the photograph, I will be able to work out the relative distance between each pixel. Thoughts?