A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets.
Seyd Teymoor SeydiMahdi HasanlouMeisam AmaniPublished in: Remote. Sens. (2020)
Keyphrases
- land cover
- remote sensing
- change detection
- end to end
- remote sensing images
- remote sensing imagery
- multi dimensional
- satellite images
- multispectral
- multi source
- remote sensing data
- land cover change
- remotely sensed images
- remotely sensed
- land cover classification
- satellite data
- remotely sensed data
- high resolution
- satellite imagery
- image analysis
- landsat tm
- image processing
- hyperspectral
- image fusion
- high spatial resolution
- data streams
- pattern recognition
- urban areas
- supervised classification
- digital image analysis
- multiple sources
- earth science
- database
- geographic information systems
- hyperspectral images
- information fusion
- image registration
- databases
- data sets