Spatial Pooling Graph Convolutional Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3140353
Abstract: Graph convolution networks (GCNs) have been applied in a variety of fields due to their powerful ability in processing graph-like data. However, the massive number of hyperspectral pixels makes it challenging to define general graph… read more here.
Keywords: graph convolutional; classification; spatial pooling; graph ... See more keywords
Uniform Pooling for Graph Networks
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10186287
Abstract: The graph convolution network has received a lot of attention because it extends the convolution to non-Euclidean domains. However, the graph pooling method is still less concerned, which can learn coarse graph embedding to facilitate… read more here.
Keywords: pooling graph; uniform pooling; graph; convolution ... See more keywords