Graph Neural Network for Hyperspectral Image Clustering
Produktnummer:
18a33c21f7908d431aacf4fb409577627d
| Autor: | Ding, Yao Feng, Jie Guan, Renxiang Hu, Haojie Lv, Zhiyong Zhang, Zhili |
|---|---|
| Themengebiete: | Contractive learning Deep clustering Graph Learning Hyperspectral image clustering Layer-wise graph attention Low-pass graph convolution Low-pass graph denoising Self-supervised Deep learning Self-training neural network graph neural network |
| Veröffentlichungsdatum: | 23.08.2025 |
| EAN: | 9789819677092 |
| Sprache: | Englisch |
| Seitenzahl: | 132 |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
Produktinformationen "Graph Neural Network for Hyperspectral Image Clustering"
This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information. Multiple graph neural network-based clustering methods for hyperspectral images are proposed, effectively improving the clustering accuracy of hyperspectral images and taking an important step towards the practical application of hyperspectral images. This book is innovative in content and emphasizes the integration of theory with practice, which can be used as a reference book for graduate students, senior undergraduate students, researchers, and engineering technicians in related majors such as electronic information engineering, computer application technology, automation, instrument science and technology, remote sensing.
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