Leveraging Cloud Resources for Distributed Training of Residual CNNs in Aerial Image Classification

Leveraging Cloud Resources for Distributed Training of Residual CNNs in Aerial Image Classification

Aerial image classification is crucial across multiple sectors, including environmental monitoring, agriculture, and urban planning. However, processing large-scale aerial imagery efficiently poses challenges in model performance, computational efficiency, and scalability. This research introduces a...

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Bibliographic Details
Main Authors: Shantanu Kumar, Shruti Singh, Narendra Kumar Dewangan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Aerial image classification
convolutional neural network (CNN)
cloud computing
distributed model training
Online Access:https://ieeexplore.ieee.org/document/10887208/

Internet

https://ieeexplore.ieee.org/document/10887208/

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