Enhancing DEM Accuracy through Deep Learning

I'm looking for an expert in Convolutional Neural Networks (CNN) to apply machine/deep learning techniques in order to improve the accuracy of Digital Elevation Model (DEM) for enhanced terrain analysis. Main requirements include:

1. Improvement of DEM Accuracy
- The enhanced DEM should have higher precision and must synchronize with the building footprint data and the 3D building model, ensuring no float or sink anomalies.

2. Application of CNN
- The preferred method for this project is the application of Convolutional Neural Networks. If you have hands-on experience with CNN or have tackled similar projects, consider bidding.

3. Data Sources
- The available data sources to aid this task include LiDAR data (.las format) and DEM data (.tiff format).

4. Sharing And Explanation
- You need to share the developed ML or DL code and provide a clear explanation of your implementation process.

Ideal candidates should have expertise in CNN, GIS, and substantial experience working with both LiDAR and DEM data.