A Multiscale Attention Transformer for Martian Dust Devil Detection in Remote Sensing Imagery

Detecting Martian dust devils remains a challenging task due to the scarcity of high-quality annotated data, significant variations in scale, blurred boundaries, and complex surface textures. To address these difficulties, we construct a cross-regional, manually annotated benchmark dataset named MDD...

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מידע ביבליוגרפי

Principais autores:	Gan Liu, Linlin Shi, Jialong Lai, Feifei Cui, Xiaoping Zhang, Yi Xu
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2026-01-01
סדרה:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
נושאים:	Dust devil IOU-based loss object detection transformer feature fusion
גישה מקוונת:	https://ieeexplore.ieee.org/document/11309725/
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