Vision Transformers for Remote Sensing Image Classification
Yakoub Bazi, Laila Bashmal, Mohamad Mahmoud Al Rahhal et al.
2021 · Remote Sensing · 613 citations
In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as state-of-the-art models in natural language processing, do not rely on convolution layers as in standard convolutional neural networks (CNNs). Instead, they use multihead attention mechanisms as the main building block to derive long-range contextual relation between pixels in images. In a first step, the images under analysis are divided into patches, then converted to sequence by flattening and embedding. To keep information about the posi…
Explore this paper's citation graph on Constellation.