Deep Learning Models for River Classification at Sub-Meter Resolutions from Multispectral and Panchromatic Commercial Satellite Imagery.
Joachim MoortgatZiwei LiMichael DurandIan M. HowatBidhyananda YadavChunli DaiPublished in: CoRR (2022)
Keyphrases
- multispectral
- satellite images
- satellite imagery
- remote sensing
- remotely sensed
- deep learning
- multi spectral images
- land cover
- multispectral images
- remote sensing images
- hyperspectral data
- high spatial resolution
- high resolution
- hyperspectral images
- image analysis
- hyperspectral
- image data
- spatial resolution
- change detection
- machine learning
- pattern recognition
- remotely sensed images
- model selection
- image fusion
- spectral bands
- probabilistic model
- hyperspectral imagery
- image processing
- unsupervised learning
- computer vision
- supervised learning
- urban areas
- high quality
- data sets
- neural network
- image classification
- feature vectors
- frame rate
- feature extraction