SAM4RoadEx: A Segment Anything Model-Based Framework for Road Extraction From Remote Sensing Images With Prompt-Guided Active Supervision
Yu Li, Anran Yang, Mengyu Ma, Hao Chen
Road extraction from remote sensing images is crucial for autonomous driving, urban planning, and disaster response, yet remains challenging due to the presence of complex interference, the elongated structure of roads, and occlusions by surrounding objects. To tackle these challenges, we propose …
cn (code pays fourni par la source)
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing