Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2025
Genre:	Naturwissensch., Medizin, Technik
	Adaptive filter graph encoder / Bildverarbeitung / Biomedical Research / Contractive learning / Deep clustering / Graph Learning / Graph neural network / Homophily-enhanced structure learning / Hyperspectral image clustering / Image processing / Joint network optimization / Layer-wise graph attention / Low-pass graph convolution / Low-pass graph denoising / machine learning / Maschinelles Lernen / Mathematische Modellierung / Medizinische Forschung / Self-supervised Deep learning / Self-training neural network mehr...
ISBN:	9789819677092
EAN-Code:	9789819677092
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	157
Illustration:	XII, 157 p. 51 illus., 50 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.