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IEEE Access • Vol 10
Aggregating Features From Dual Paths for Remote Sensing Image Scene Classification
January 2022 • Donghang Yu, Qing Xu, Haitao Guo, Jun Lu, Yuzhun Lin, Xiangyun Liu
Scene classification is an important and challenging task employed toward understanding remote sensing images. Convolutional neural networks have been widely applied in remote sensing scene classification in recent years, boosting classification accuracy. However, with improvements in resolution, the categories of remote sensing images have become ever more fine-grained. The high intraclass diversity and interclass similarity are the main characteristics that differentiate remote scene image classification from na…
Computer Science
Artificial Intelligence
Convolutional Neural Network
Boosting (Machine Learning)
Computer Vision
Philosophy