Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification

Understand

Remote sensing image scene classification is a fundamental but challenging task in understanding remote sensing images.

• Recently, deep learning-based methods, especially convolutional neural network-based (CNN-based) methods have shown enormous potential to understand remote sensing images.
• CNN-based methods meet with success by utilizing features learned from data rather than features designed manually.
• The feature-learning procedure of CNN largely depends on the architecture of CNN.