Spatial–spectral morphological mamba for hyperspectral image classification
Year: 2025
Type: article
Source: Neurocomputing
Institutions: University of Messina, Southwest Jiaotong University, University of Hull, Innopolis University, National University of Computer and Emerging Sciences, Government of West Bengal, Institut polytechnique de Grenoble, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Laboratoire Jean Kuntzmann, Chinese Academy of Sciences, Aerospace Information Research Institute, University of Chinese Academy of Sciences
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: NextGenerationEU
Awards: G1360392475, G3822624842
OpenAlex ID: W4408596652
