Spectral-Spatial Feature Extraction Network With SSM-CNN for Hyperspectral-Multispectral Image Collaborative Classification

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 17555 - 17566
• Main Authors: Wang, Qingwang, Fan, Xingxing, Huang, Jiangbo, Li, Shuai, Shen, Tao
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Classification; Collaboration; collaborative classification; Convolutional neural network (CNN); Convolutional neural networks; Correlation; Data mining; feature exchange; Feature extraction; Hyperspectral imaging; Image classification; Land cover; Laser radar; multisource remote sensing (RS); Neural networks; Remote sensing; Spatial data; state–space model (SSM); Transformers

Multisource remote sensing (RS) image classification is a significant research area in Earth observation, aiming to achieve more comprehensive and accurate classification of land cover by integrating data from different sensors. Due to differences in imaging mechanisms and information imbalance betw...