The Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution.
Dmitry I. RukhovichPolina V. KorolevaDanila D. RukhovichNatalia V. KalininaPublished in: Remote. Sens. (2021)
Keyphrases
- remote sensing data
- machine learning
- land cover
- remote sensing
- multispectral
- supervised classification
- remote sensing images
- change detection
- deep learning
- satellite images
- data mining
- computer vision
- remotely sensed data
- land cover classification
- image analysis
- hyperspectral
- urban areas
- remotely sensed images
- active learning
- geographic information systems
- reinforcement learning
- image segmentation
- decision trees
- data sets
- satellite data