And we want to find it using deep learning!
So how does this work exactly? Well, first we feed our multispectral images into a neural network (which is basically like a fancy computer brain) and let it learn what water looks like in different lighting conditions and from different angles. This process is called training the model. Once the model has learned all about water, we can use it to segment out any areas that look like they might be water even if there are trees or buildings blocking our view!
Here’s an example of what this might look like:
[Insert image here]
As you can see, the model has successfully identified all the water in the scene (even though it was hidden behind some pretty thick foliage). And that’s just one small part of how deep learning is changing the way we analyze satellite imagery!
But what about when there are no trees or buildings to hide behind? How does our model handle those situations? Well, let me explain.
Our model uses a technique called semantic segmentation, which means it can identify and label different objects within an image based on their characteristics. So for example, if we have an image that looks like this:
[Insert image here]
Our model would be able to distinguish between the water (which is blue) and the land (which is green or brown). And it could do this even in situations where there are no trees or buildings to hide behind!
So how does our model know what to look for? Well, that’s where training comes in. We feed our model a large dataset of images that have been labeled with their corresponding classes (in this case, water and land). And the model learns from these examples until it can accurately identify different objects within an image based on their characteristics.
And that’s just one example of how deep learning is changing the way we analyze satellite imagery! With our new model, we can now segment out any areas that look like they might be water even if there are trees or buildings blocking our view. And this has huge implications for a variety of industries, from agriculture to environmental monitoring and beyond!
So next time you’re looking at a satellite image, remember: deep learning is changing the game!