Unsupervised Burned Area Mapping in a Protected Natural Site. An Approach Using SAR Sentinel-1 Data and K-mean Algorithm.
Giandomenico De LucaGiuseppe ModicaCarmen FattoreRosa LasaponaraPublished in: ICCSA (5) (2020)
Keyphrases
- data sets
- learning algorithm
- input data
- preprocessing
- data sources
- dynamic programming
- synthetic datasets
- image data
- data reduction
- information loss
- noisy data
- data distribution
- simulated annealing
- database
- computational complexity
- search space
- data analysis
- computational cost
- neural network
- website
- original data
- synthetic data
- detection algorithm
- parameter estimation
- segmentation algorithm
- data collection
- worst case
- data points
- np hard
- semi supervised
- xml documents
- data structure
- similarity measure
- cost function
- dimensional data
- unsupervised manner