The first step in creating the shipwreck model was to teach the computer what a shipwreck looks like. It was also important to teach the computer how to tell the difference between wrecks and the topography of the seafloor. To do this, I needed lots of examples of shipwrecks. I also needed to teach the model what the natural ocean floor looks like.
Not awe inspiring....shipwrecks come in many, many forms and sizes, and most of them are not recognizable, even up close...
This is not underwater LIDAR...it is the ability for a LIDAR system, with a large amount of post processing, to see through the surface of the water to where its Laser Light can penetrate.. which in reality, based on conditions, backscatter, and surface wave conditions that defract...can be very, very shallow, or a little deeper, but we all know how deep light can penetrate water...
LIDAR: Light Detection and Ranging.
LIDAR is based on the reflection from the first hard surface it "sees"...This is why these LIDAR systems for self driving cars are complete bullsheisa...
We build algorithms to post process the data to map a surface...unfortunately, the only way to test the algorithm is with the system itself. So, if it gives you the same result that you programmed it, then it is a success
This is where I have problems with this system...it is basically looking for a pre-determined result. If you find this it is this...of course it will find that, because you used that data to program the algorithm...but, if your assumption of this was not correct...then well...
Sorry, trying to put this together...you have a result from the system, you program the system to report that this particular shape or signature is this...then you test the program with that shape, and viola, it identifies it.. success?
This is the problem with building algorithms based off data...you should always get the answer that you told it to provide...
When it doesnt find what your pre-determined algorithm told it to find, you are really off...