Rcl-sam: a parameter-efficient segment anything model for high-resolution remote sensing cultivated land extraction
A hybrid model termed RCL-SAM is proposed, which is built upon SAM and integrates parameter-efficient fine-tuning (PEFT) techniques, incorporating multiple innovative designs, and significantly improves the performance of SAM for single-instance cultivated land parcel segmentation in remote sensing imagery.