Change detection approach is most involed binary classification approach where the two “change” or “no-change” classes are produced between the two image acquisitions. This approach has applications in various fields like:

• Forest status between two dates
• Disaster management: after earthquake using pre and post disaster image to indntify the extent and location of damaged and distroyed building
• Flood mapping: using pre and post flood images in order to map the flooding areas

Methods

• Log ratio method
• Machine learning models
• Fuzzy logic based change detection algorithms

Tools

Machine learning, regression models, descriptive statistics, Bayesian statistics, data mining, Python, IDL, C/C++, Matlab, R, ArcPy, machine learning libraries