Satellite Image Classification Using Deep Learning (ResNet or VGG16)

Abstract

Satellite image classification plays a key role in remote sensing applications. This project employs deep learning models, such as ResNet and VGG16, to classify satellite images into different land cover categories. The implementation is optimized for high accuracy using transfer learning techniques.

Key Words

• Satellite Image Classification
• Deep Learning
• ResNet
• VGG16
• Remote Sensing

Delivery Time

Delivery within: 4 days