An explainable MHSA enabled deep architecture with dual-scale convolutions for methane source classification using remote sensing.
Kamakhya BansalAshish K. TripathiPublished in: Environ. Model. Softw. (2024)
Keyphrases
- remote sensing
- remotely sensed
- multispectral
- hyperspectral images
- remote sensing images
- change detection
- multi spectral images
- hyperspectral
- satellite images
- land cover classification
- hyperspectral data
- remote sensing imagery
- image processing
- image analysis
- high resolution
- remote sensing data
- remotely sensed data
- pattern recognition
- satellite data
- image fusion
- remotely sensed imagery
- land cover
- satellite imagery
- high spatial resolution
- landsat tm
- image classification
- feature extraction
- digital image analysis
- hyperspectral imagery
- automatic image registration
- remotely sensed images
- environmental sciences
- machine learning
- earth observation
- hyperspectral remote sensing
- feature selection
- hyperspectral imaging
- geographical information systems
- supervised classification
- earth science
- urban areas
- image features
- feature vectors
- remote sensed images