Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification

Author:

Ding Yao,Zhang ZhiliORCID,Zhao Xiaofeng,Hong Danfeng,Cai Wei,Yang Nengjun,Wang Bei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference65 articles.

1. SLIC superpixels compared to state-of-the-art superpixel methods;Achanta;IEEE Transactions on Pattern Analysis and Machine Intelligence,2012

2. BS-Nets: An end-to-end framework for band selection of hyperspectral image;Cai;IEEE Transactions on Geoscience and Remote Sensing,2019

3. Graph regularized residual subspace clustering network for hyperspectral image clustering;Cai;Information Sciences,2021

4. Semi-supervised graph-based hyperspectral image classification;Camps-Valls;IEEE Transactions on Geoscience and Remote Sensing,2007

5. Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine;Chen;Remote Sensing,2014

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