Deep learning in Remote sensing

Lamyaa Taha

ISBN 10: 620744700X / ISBN 13: 9786207447008

Published by LAP LAMBERT Academic Publishing Nov 2023, 2023

About this Item

Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.

Seller Inventory # 9786207447008

Bibliographic Details

• Title: Deep learning in Remote sensing
• Publisher: LAP LAMBERT Academic Publishing Nov 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 620744700X
• ISBN 13: 9786207447008
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 107 grams