Beijing Academy of Agriculture and Forestry Sciences

Pine wilt disease is hardest to catch before needles visibly discolour, and RGB drone imagery lacks the cues. A multi-scale vision transformer, LMS-ViT, was built for drone hyperspectral data, combining a spectral-spatial fusion module, a Gaussian self-attention mechanism and a multi-scale feature pyramid to model spectral differences between central pixels and neighbours. In a Japanese black pine stand in Shandong, it identified green attack and early stage trees at 87.40% and 88.21% accuracy, with 87.90% overall accuracy, a Kappa of 83.25% and 2.45 M parameters.

Pine wilt disease is hardest to catch before needles visibly discolour, and RGB drone imagery lacks the cues. A multi-scale vision transformer, LMS-ViT, was built for drone hyperspectral data, combining a spectral-spatial fusion module, a Gaussian self-attention mechanism and a multi-scale feature pyramid to model spectral differences between central pixels and neighbours. In a Japanese black pine stand in Shandong, it identified green attack and early stage trees at 87.40% and 88.21% accuracy, with 87.90% overall accuracy, a Kappa of 83.25% and 2.45 M parameters.