7 papers
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture
Guandong Li, Mengxia Ye
Hyperspectral image (HSI) classification faces challenges such as high-dimensional data, limited training samples, and spectral redundancy, which often lead to overfitting and insu…
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy,…
Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy,…
Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including high-dimensional data, sparse distribution of ground objects, and spectral redundancy,…
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face numerous challenges in hyperspectral image classification, including high-dimensional data, sparse ground object distributions, and spectral redundancy, w…
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification
Guandong Li, Mengxia Ye
Deep neural networks face several challenges in hyperspectral image classification, including complex and sparse ground object distributions, small clustered structures, and elonga…