An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images.
Fangzhou LinChenyang GaoKazunori D. YamadaPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- satellite images
- air pollution
- convolutional neural network
- multispectral
- remote sensing
- high resolution satellite images
- change detection
- land cover
- digital elevation models
- air quality
- satellite imagery
- urban areas
- remote sensing images
- image analysis
- machine learning
- remotely sensed images
- image data
- remotely sensed
- high resolution
- high quality