1. A method for aerial image processing and object identification using an electronic computing device, the method comprising: causing the electronic computing device to build a deep learning model comprising: receiving a plurality of training images, the training images including a plurality of known objects; pre-processing the plurality of training images to clean and texture map the plurality of training images; and building the deep learning model; receiving actual aerial image data; applying the deep learning model to the actual aerial image data to identify areas of interest; post-processing the areas of interest; and returning a plurality of classified objects corresponding with the areas of interest to a user.