What are the main challenges in using AI for satellite imagery analysis?

What are the main challenges in using AI for satellite imagery analysis?

Some key challenges include data quality, processing power, and the need for large labeled datasets.

How does data quality affect AI performance in this context?

Data quality impacts the accuracy of AI models; poor quality images can lead to incorrect interpretations.

What role does labeled data play in training AI models?

Labeled data is crucial for supervised learning, as it helps the model learn to identify patterns and features.

Are there any specific technologies that help overcome these challenges?

Yes, technologies like cloud computing and advanced algorithms can enhance processing capabilities and data management.

What future advancements do you foresee in this field?

Future advancements may include improved algorithms, better data collection methods, and enhanced computational resources.