Fine-grained tree-species segmentation in UAV RGB imagery using parameter-efficient segment anything adaptation
HDP-SAM is proposed, a prompt-free and parameter-efficient SAM adaptation framework for UAV forest imagery that leverages SAM’s pretrained mask priors and structural representations to enhance crown-level coherence and demonstrate the effectiveness of HDP-SAM for fine-grained tree-species segmentation in complex UAV fo...