MC-Net: multi-scale contextual information aggregation network for image captioning on remote sensing images.
Haiyan HuangZhenfeng ShaoQimin ChengXiao HuangXiaoping WuGuoming LiLi TanPublished in: Int. J. Digit. Earth (2023)
Keyphrases
- contextual information
- multiscale
- remote sensing images
- marked point processes
- remote sensing
- global information
- context aware
- input image
- image representation
- image features
- landsat etm
- image analysis
- image data
- spatial context
- multispectral
- image segmentation
- change detection
- remotely sensed images
- satellite images
- multispectral images
- edge detection
- image regions
- image content
- remote sensing data
- neural network
- multi spectral images
- contextual features
- scale space
- segmentation method
- high level semantics
- appearance information
- semantic information
- image classification
- image retrieval
- spatial information
- low level
- wireless sensor networks
- similarity measure
- mobile devices
- computer vision
- spatial and temporal
- high level
- contextual constraints
- pattern recognition
- high resolution
- land cover
- segmentation algorithm
- user behavior