A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture.
Hussain Mobarak AlbarakatiMuhammad Attique KhanAmeer HamzaFaheem KhanNaoufel KraiemLeila JamelLatifah AlmuqrenRoobaea AlroobaeaPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- remote sensing images
- land cover
- remote sensing
- multispectral
- change detection
- deep learning
- land cover classification
- supervised classification
- landsat etm
- landsat tm
- remotely sensed images
- satellite images
- remote sensing data
- unsupervised learning
- geographic regions
- geographic information systems
- high spatial resolution
- multispectral images
- urban areas
- image analysis
- pattern recognition
- decision trees
- machine learning
- neural network
- supervised learning
- feature extraction
- feature selection
- data mining