What are the limitations of change detection?

What are the main limitations of change detection in AI?

Change detection in AI can be limited by factors like data quality, algorithm efficiency, and environmental variability.

Can you explain how data quality affects change detection?

Certainly! Poor data quality can lead to inaccurate detections, as algorithms may misinterpret noise as significant changes.

Are there specific algorithms that are better for change detection?

Yes, some algorithms like image differencing and machine learning models are often more effective, but they also have their own limitations.

How does environmental variability impact change detection?

Environmental variability can introduce inconsistencies, making it challenging for algorithms to distinguish between actual changes and natural fluctuations.

What are some practical applications of change detection?

Change detection is used in fields like remote sensing, urban planning, and environmental monitoring to track changes over time.