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About Satellite Image Segmentation Using Deep Learning For Deforestation
This document describes research on using a U-Net deep learning model for satellite image segmentation to detect deforestation. The researchers created a dataset of 322 Ukrainian satellite images labeled with forest, deforestation, and other areas. They address class imbalance by developing a hybrid loss function. Testing achieved a mean intersection over union score of 0.52 for cross-validation and 0.51 for random initialization, demonstrating the model and dataset are robust to variation and randomness. The researchers plan to improve performance by increasing dataset size and sophistication given model-centric results.
Detailed Information
| Author: | ['Петр Воротинцев'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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