It's usually the exact opposite for this sort of thing. You can't do this with natural language. Traditional computer vision is well suited to it and works with

It's usually the exact opposite for this sort of thing. You can't do this with natural language. Traditional computer vision is well suited to it and works with some tweaks. "Modern" techniques for it require collecting insane amounts of training data for simple things. You can't just throw transfer learning at this because it's a lot different than standard photographs that models are trained on. The old school methods are faster and more reliable for a significant number of problems in the geospatial world. And you still need a lot of deep expertise no matter what.