Lamyaa Taha, Rania Ibrahim, Asmaa Mandouh

Deep learning in Remote sensing

Convolutional Neural Network (CNNs)

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 60
• Erscheinungstermin: 22. November 2023
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 107g
• ISBN-13: 9786207447008
• ISBN-10: 620744700X
• Artikelnr.: 69655296

Autorenporträt

Dr. Lamyaa Gamal Eldeen Taha Professeur en topographie et photogrammétrie Chef de la division Aviation et photographie aérienne - Autorité nationale pour la télédétection et les sciences spatiales Dr. Rania E. Ibrahim Chef du département des publications scientifiques - Autorité nationale pour la télédétection et les sciences spatiales Ing.Asmaa A.Mandouh NARSS.