Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images. (arXiv:2210.15972v1 [cs.CV])

Very high-resolution (VHR) remote sensing (RS) image classification is the
fundamental task for RS image analysis and understanding. Recently,
transformer-based models demonstrated outstanding potential for learning
high-order contextual relationships from natural images with general resolution
(224x224 pixels) and achieved remarkable results on general image
classification tasks. However, the complexity of the naive transformer grows
quadratically with the increase in image size, which prevents transformer-based
models from VHR RS image (500x500 pixels) classification and other
computationally expensive downstream tasks. To this …

arxiv images remote sensing