IEEE

Hybrid Grey Wolf Optimizer–CNN Model for High-Resolution Remote Sensing Image Classification

Abstract: Classifying high-resolution remote sensing images is an essential task for resource management, urban planning, and environmental monitoring; however, it is still difficult because of the ...
IEEE

MHS-Mamba: A Multihierarchical Semantic Model for UAV Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) captured by uncrewed aerial vehicles (UAVs) is distinguished by superior spatial resolution and intricate spectral detail, with widespread applications in precise ...
IEEE

LCTNet: Lightweight Convolution-Transformer Network for Hyperspectral Image Classification

Abstract: Deep learning models, especially hybrid models combining convolutional neural networks (CNN) and Transformer, introduce new ideas for hyperspectral image (HSI) classification. However, the ...
IEEE

A New Multiscale Superpixel Mamba for Hyperspectral Image Classification

Abstract: State-space models (SSMs), particularly the Mamba model, have recently garnered significant attention in hyperspectral image (HSI) classification tasks due to their capability to model ...