Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Graph Neural Network for Hyperspectral Image Clustering

Graph Neural Network for Hyperspectral Image Clustering

Ding, Yao
Zhang, Zhili
Hu, Haojie

Hardcover

Series: Intelligent Perception and Information Processing

Medical ReferenceGeneral ComputersGeneral Mathematics

Currently unavailable to order

ISBN10: 9819677092
ISBN13: 9789819677092
Publisher: Springer
Published: Aug 10 2025
Pages: 157
Weight: 0.95
Height: 0.50 Width: 6.00 Depth: 8.90
Language: English

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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