Enhancement of coarse resolution imagery using super-resolution and convolution neural networks to be used for fit-for-purpose systematic land titling and land valuation

A method of enhancing digital images of a parcel of land, comprising:

• a) training a super resolution conventional neural network model to improve resolution of a digital picture,
• wherein the training includes:
• providing a pair of orthophotos, where a first orthophoto is a coarse resolution orthophoto having a first resolution and a second orthophoto is a fine resolution orthophoto of a parcel of land having a second resolution, wherein the second resolution is higher than the first resolution, and
• wherein the the first orthophoto and the second orthophoto are aerial images covering an exact same ground area, and
• the second resolution is between 5 and 25 centimeters per pixel;
• geometrically correcting the the first orthophoto and the second orthophoto to have a uniform scale;
• training the model based on the corrected orthophotos to obtain a trained model;
• and
• b) providing a coarse resolution image of another parcel of land to the trained model as an input to obtain a fine resolution image of the another parcel of land as an output.