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

Descripción

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.

N° de ref. del artículo 9786207447008

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Detalles bibliográficos

Título

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

Editor

LAP LAMBERT Academic Publishing

Fecha de publicación

2023

Idioma

Inglés

ISBN 10

620744700X

ISBN 13

9786207447008

Encuadernación

Taschenbuch

Estado

Neu