So it’s time to get going with my project to build an automated process of identifying roads from Bing Aerial Images, I’ve written about it once before. I’ve now started to look into it a bit more. The OpenCV project seems to be a great starting point to work from, hopefully most of the code that I need to process images is already there so I can work on my application specifics. Before starting on your own it’s wise to search the web for similiar projects and I’ve found a few related sources.
- Automatically detect roads with Bing Aerial Imagery
- Alastair Aitchison – Blog post on using Bing’s service (above)
- Tnorth – Thoughts about Bing road detect API and vectorization
- Microsoft Road Detect Test Web Site
- OpenStreetMap Wiki – Bing information
- OpenStreetMap Wiki – Bing License for OpenStreetMap project
- OpenLayers Blog – Bing Tiles for OpenLayers (reasoning about why Bing Tiles are good)
- Bing – Maps Account Center (to get your own API key)
- Microsoft MSDN – Bing Maps APIs
I’ve two paths I need to go, one is to create a prototype to see if the Efficient Graph-Based Image segmentation works for my application and the other is that I need to write an report about the math behind it in three weeks. At the beginning of the week my goal was to get going with the report but the more I think about I feel that I will get a better understanding of it if I start with the prototype. I will write another blog post before the end of the week with more information.