What are the different methods used in satellite imagery analysis?

What are the different methods used in satellite imagery analysis?

There are several methods used in satellite imagery analysis, including supervised and unsupervised classification, object-based image analysis, and machine learning techniques. Each method has its own strengths and applications.

Can you explain the difference between supervised and unsupervised classification?

Sure! Supervised classification requires labeled training data to guide the analysis, while unsupervised classification identifies patterns in the data without prior labels.

Which method is more accurate for land cover classification?

Supervised classification is generally more accurate for land cover classification because it uses specific training data, but it requires more effort to gather that data.

Are there any recent advancements in satellite imagery analysis?

Yes, recent advancements include the use of deep learning algorithms and improved satellite sensors, which enhance the accuracy and speed of analysis.