AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints.
Shaochun LiYanjun WangHengfan CaiLina DengYunhao LinPublished in: CoRR (2024)
Keyphrases
- fine grained
- change detection
- high resolution
- remote sensing
- satellite imagery
- coarse grained
- satellite images
- remote sensing images
- remote sensing data
- access control
- remotely sensed
- video sequences
- remote sensing imagery
- data streams
- image processing
- multispectral
- shot change detection
- image analysis
- motion compensation
- image registration
- multiple images
- motion estimation
- land cover
- image sequences
- high level
- remotely sensed images
- metadata
- machine learning
- remotely sensed data
- man made structures
- data sets