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CNN Techniques for Satellite Image Classification by Ajay Subramanyam is a document available to read on EtoBox.
What is CNN Techniques for Satellite Image Classification about?
This document discusses the application of Convolutional Neural Networks (CNN) for satellite image classification, highlighting the effectiveness of deep learning techniques over traditional methods. The authors present a comparative analysis of various pre-trained models (AlexNet, VGG19, GoogLeNet, and Resnet50) and report the highest classification accuracy achieved by the Resnet50 model on datasets SAT4, SAT6, and UC Merced Land. The study emphasizes the importance of feature extraction and preprocessing
- Author
- Ajay Subramanyam
- Language
- EN