Aerial Urban Imagery Change Detection -- 2

In this project, I need an expert to identify changes in aerial images of urban areas, specifically focusing on buildings.

Tasks include:

- Use normal and rotated images to matching and find change detection.
- Use the Roll and Pitch method to reorientation the rotated images.
- Remove all shadows if it exist.
- Comparison of different aerial images to track alterations.
- Detection of infrastructural changes, particularly in reference to buildings.
- Intelligent identification of anomalies in imagery data.
- Work in Python-Jupyter source code.
- Provide me the source code.

Ideal candidates for this project possess strong skills in:

- Image processing, preferably with a focus on aerial or satellite imagery.
- Change detection algorithms for capturing infrastructural modifications.
- Experience with urban planning or architectural structures would be a plus.


Your tasks will be instrumental in providing insightful data for urbanization studies and city planning.