A Building Roof Segmentation Method for Rooftop PV Planning
Rooftop segmentation is important in rooftop PV planning.As it is based on manual provision of prompts,it reduces the level of automation in roof PV planning.In order to improve the automation of SAM for roof segmentation tasks,this paper proposes an automated segmentation method for building roofs that improves the Segment Anything Model(SAM).We introduce a learnable network for providing prompts based on SAM.The roof segmentation task is simplified and transformed into an end-to-end task,and the accuracy of roof segmentation is significantly improved.The method is experimentally validated to achieve segmentation accuracy up to 99%and mAP up to 82.5%,demonstrating excellent performance at the level of building roof segmentation and automation.
large modelsroof segmentationPV Capacityrooftop solar
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