Learn how to perform object detection using deep learning convolution neural networks in ERDAS IMAGINE. You’ll see how to:
* Capture training footprints of the object you want to detect using machine learning layout tools
* Train a neural network to find the captured information using Spatial Modeler
* Apply a trained neural network over aerial photos to map the locations of the objects you’re looking for
In this example, you see how to identify and map oil palm tree locations in RGB orthophotos.
These features are just a few of the ways ERDAS IMAGINE’s consolidated workflows, smarter processing, and dynamic modeling can work for you.
