Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN).
Vittorio MazziaAleem KhaliqMarcello ChiabergePublished in: CoRR (2020)
Keyphrases
- convolutional neural network
- data sets
- learning algorithm
- image data
- supervised learning
- remote sensing data
- supervised classification
- data analysis
- data quality
- object oriented
- database
- satellite data
- remote sensing imagery
- geographic information systems
- unsupervised learning
- multi dimensional
- data points
- data sources
- learning process
- pattern recognition
- data structure
- training data
- decision trees
- image processing