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Kniha Deep learning in Remote sensing Rania Ibrahim

Deep learning in Remote sensing

Autor: Rania Ibrahim, Asmaa Mandouh
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: LAP LAMBERT Academic Publishing
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 053 Kč
In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-a...

Informace o knize

Autor
Rania Ibrahim, Asmaa Mandouh
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2023
Stránek
60
EAN
9786207447008
ISBN
620744700X
Enbook ID
44592680
Vydavatel
LAP LAMBERT Academic Publishing
Hmotnost
107
Rozměry
150 x 220 x 4

Kompletní popis

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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