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Shengliang Pu
Researcher at Chinese Academy of Sciences
Publications - 2
Citations - 23
Shengliang Pu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Feature (computer vision) & Deep learning. The author has an hindex of 1, co-authored 2 publications receiving 5 citations.
Papers
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Journal ArticleDOI
Hyperspectral Image Classification with Localized Graph Convolutional Filtering
TL;DR: Wang et al. as discussed by the authors presented a novel method that performs the localized graph convolutional filtering on hyperspectral image (HSI) classification based on spectral graph theory.
Journal ArticleDOI
Lightweight Oriented Object Detection Using Multiscale Context and Enhanced Channel Attention in Remote Sensing Images
TL;DR: In this article, the multiscale context and enhanced channel attention (MSCCA) model was proposed to improve the characterization ability of the convolutional neural network for small object detection in remote sensing images.