CORDIS Project
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This project develops an automated method for analyzing remote sensing images to monitor agricultural systems. By utilizing advanced clustering techniques, it aims to enhance data extraction efficiency, reducing reliance on expert analysis while improving accuracy.
Remote sensing images have been a significant information source for many different applications, especially for monitoring agricultural and environmental resources.
Yet knowledge extraction from them is often performed by domain experts using heavily interactive computer-aided photo-interpretations due to lack of powerful automated methods.
Improved spatial/spectral resolution in recent years provides details for precise monitoring, in expense of making the problem even more complicated.
For mo…
ULUSLARARASI ANTALYA UNIVERSITESI
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