Zhili Zhang – författare
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5 produkter
Graph Neural Network for Hyperspectral Image Clustering
Av Yao Ding, Zhili Zhang m. fl.
Inbunden, 2025
1687 kr
Lägg i varukorg
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 …
Graph Neural Network for Hyperspectral Image Clustering
Av Zhiyong Lv, Jie Feng m. fl.
E-bok, 2025
2105 kr
Lägg i varukorg
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 …
Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
Av Yao Ding, Zhili Zhang m. fl.
Inbunden, 2024
1529 kr
Lägg i varukorg
This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book, various graph neural network based classifiers have been proposed for hyperspectral image …
Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
Av Yijun Zhang, Shuli Cheng m. fl.
E-bok, 2024
1913 kr
Lägg i varukorg
This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book, various graph neural network based classifiers have been proposed for hyperspectral image …
Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images
Av Yao Ding, Zhili Zhang m. fl.
Häftad, 2025
1529 kr
Lägg i varukorg
This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book, various graph neural network based classifiers have been proposed for hyperspectral image …