Mapping and Classification of Trees Outside Forests using Deep Learning

Name: Mapping and Classification of Trees Outside Forests using Deep Learning
Uploaded: 2026-10-03T01:26:54.235362+00:00
Duration: 481 s
Description: The study used six deep learning models to map and classify Trees Outside Forests (TOF) across four German agricultural landscapes. The FT-UNetFormer model performed best, achieving an mIoU of 0.739 and an mF1 score of 0.843, demonstrating strong accuracy in identifying small TOF classes.

The study used six deep learning models to map and classify Trees Outside Forests (TOF) across four German agricultural landscapes. The FT-UNetFormer model performed best, achieving an mIoU of 0.739 and an mF1 score of 0.843, demonstrating strong accuracy in identifying small TOF classes.

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