Deep Learning Classifiers for Hyperspectral Image Analysis

Language: English

Published by LAP LAMBERT Academic Publishing, 2022

6205514133 / 9786205514139

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Hyperspectral image classification is the most popular research area in the hyperspectral community and has attracted significant interest in remote sensing. HSI classification is a challenging task because of the large dimensionality of the data, inadequate datasets, huge data, and limited training samples. Several Deep Learning (DL) based architectures are being explored to resolve the aforementioned challenges and provide significant improvements in HSI data analysis. Limited studies have been presented in the literature in the direction of exploring deep learning architectures for joint spatial and spectral features to achieve high accuracy of pixel classification. This book presents different deep-learning approaches for efficient spatial-spectral features for the classification of pixels in HSI images.

Seller Inventory # 9786205514139

Title
Deep Learning Classifiers for Hyperspectral Image Analysis
Author
Murali Kanthi
Publisher
LAP LAMBERT Academic Publishing
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6205514133
ISBN 13
9786205514139
Item weight
244 grams
Dimensions
220x150x10 mm

AHA-BUCH GmbH

Einbeck, Germany

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