Deep learning in Remote sensing : Convolutional Neural Network (CNNs)

Language: English

Published by LAP LAMBERT Academic Publishing, 2023

620744700X / 9786207447008

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

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nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-arts deep learning techniques, Deep learning approaches, applications. Additionally, the potential problems on deep learning technology. This research presents convolutional neural networks (CNNs) which the most utilized DL network type. A survey of the CNN deep learning architectures that are frequently encountered in the literature, along with their strengths and limitations and describes the development of CNNs architectures together with their main features, e.g., AlexNet, VGG, ResNet, DenseNet, GoogLeNet, Inception: ResNet nd Inception V3/ V4, SegNet, U Net, Point CNN and MASK R-CNN .A detailed study on application of Convolutional Neural Network on the remote sensing to extract features is also explained. Challenges that met CNN were discussed.

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Bibliographic details

Title
Deep learning in Remote sensing : Convolutional Neural Network (CNNs)
Author
Asmaa Mandouh
Publisher
LAP LAMBERT Academic Publishing
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620744700X
ISBN 13
9786207447008
Item weight
107 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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