Remote Sensing-Oriented Small-Object Detection Based on Rotation-Normalized Prompting Segment Anything Model (opens in new tab)

Remote sensing object detection is critical for Earth observation and analysis. However, accurately detecting small objects remains a significant challenge due to complex and heterogeneous backgrounds as well as the inherently limited information these objects provide. While numerous specialized algorithms have been proposed to enhance small-object detection, the weak feature representation of objects within cluttered scenes continues to severely limit performance, making this a persistent an...