RCSFN: A remote sensing image scene classification and recognition network based on rectangle convolutional self attention fusion

• Published in: Signal, image and video processing Vol. 18; no. 12; pp. 8739 - 8756
• Main Authors: Hou, Jingjin, Zhou, Houkui, Yu, Huimin, Hu, Haoji
• Format: Journal Article
• Language: English
• Published: London Springer London 01.12.2024; Springer Nature B.V
• Subjects: Accuracy; Classification; Computer Imaging; Computer Science; Convolution; Feature extraction; Image Processing and Computer Vision; Industrial areas; Modules; Multimedia Information Systems; Multiplication; Original Paper; Pattern Recognition and Graphics; Rectangles; Remote sensing; Signal,Image and Speech Processing; Vision; Scene classification; Attention mechanism; Local feature fusion; Remote sensing; Position enhancement

Remote sensing scene classification is a critical task in the processing and analysis of remote sensing images. Traditional methods typically use standard convolutional kernels to extract feature information. Although these methods have seen improvements, they still struggle to fully capture unique...