RS-Mamba for Large Remote Sensing Image Dense Prediction

arXiv:2404.02668v1 Announce Type: new
Abstract: The spatial resolution of remote sensing images is becoming increasingly higher, posing challenges in handling large very-high-resolution (VHR) remote sensing images for dense prediction tasks. Models based on convolutional neural networks are limited in their ability to model global features of remote sensing images due to local convolution operations. Transformer based models, despite their global modeling capabilities, face computational challenges with large VHR images due to their quadratic complexity. The common practice of cropping large …

arxiv cs.cv image mamba prediction sensing type