A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm.
Ana Cláudia dos Santos LucianoMichelle Cristina Araújo PicoliJansle Vieira RochaDaniel Garbellini DuftRubens Augusto Camargo LamparelliManoel Regis Lima Verde LealGuerric le MairePublished in: Int. J. Appl. Earth Obs. Geoinformation (2019)
Keyphrases
- classification scheme
- space time
- random forest
- similarity measure
- video sequences
- machine learning
- classification algorithm
- super resolution reconstruction
- neural network
- classification method
- benchmark datasets
- expectation maximization
- simulated annealing
- information extraction
- random forests
- training data
- image processing