Hyperspectral image classification using a multi-scale CNN architecture with asymmetric convolutions from small to large kernels.
(2025)
Journal Article
LIU, X., NG, A.H.-M., LEI, F., REN, J., LIAO, X. and GE, L. 2025. Hyperspectral image classification using a multi-scale CNN architecture with asymmetric convolutions from small to large kernels. Remote sensing [online], 17(8), article number 1461. Available from: https://doi.org/10.3390/rs17081461
Deep learning-based hyperspectral image (HSI) classification methods, such as Transformers and Mambas, have attracted considerable attention. However, several challenges persist, e.g., (1) Transformers suffer from quadratic computational complexity d... Read More about Hyperspectral image classification using a multi-scale CNN architecture with asymmetric convolutions from small to large kernels..