Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning

Keyphrases

• 1D Convolutional Neural Network (1D CNN) 33%
• 2D CNN 66%
• Apple 33%
• Cloud Segmentation 33%
• Compact Size 33%
• Convolutional Neural Network 33%
• Convolutional Neural Network Model 33%
• Deep Learning 100%
• Deep Learning Model 33%
• Effective Solutions 33%
• EO-1 33%
• Fast Inference 33%
• Ground Hyperspectral Data 100%
• High-dimensional Feature Space 33%
• Hyperspectral 100%
• Hyperspectral Mission 33%
• Mobile Inference 33%
• Model Size 33%
• Multi-class Segmentation 33%
• Neural Transformer 33%
• Onboard AI 33%
• Operation Optimization 33%
• Orbit Deployment 33%
• Remote Sensing Applications 33%
• Satellite Data 33%
• Satellite Operations 33%
• Sea-land Segmentation 33%
• Semantic Segmentation 100%
• Small Animal Model 33%
• Space Deployment 33%
• Spatial Data 33%
• Spectral Features 33%
• Spectral Information 33%
• State-of-the-art Models 33%
• Superior Performance 33%
• U-Net 33%
• Vision Transformer 100%

Computer Science

• Artificial Intelligence 25%
• Case Study 25%
• Convolutional Neural Network 100%
• Deep Learning Method 100%
• Deep Learning Model 25%
• Dimensional Feature Space 25%
• Effective Solution 25%
• Hyperspectral Data 25%
• Image Segmentation 100%
• Neural Network Model 25%
• Spatial Information 25%
• Spectral Feature 25%
• Spectral Information 25%
• Superior Performance 25%
• Vision Transformer 75%

Earth and Planetary Sciences

• Artificial Intelligence 100%
• Autonomy 100%
• Deep Learning Model 100%
• Remote Sensing Application 100%
• State of the Art 100%