A platform for research: civil engineering, architecture and urbanism
Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods
Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods
Multi Source Remotely Sensed Data for Land Cover Classification and Biomass Estimation using Non Linear Methods
WIJAYA, A. (author) / GLOAGUEN, R. (author)
Wissenschaftlich-Technische Jahrestagung der DGPF ; 29. ; 2009 ; Jena
2009
Conference paper
Electronic Resource
German
Multi-source remotely sensed data fusion for improving land cover classification
Online Contents | 2017
|Classification of forest land attributes using multi-source remotely sensed data
Online Contents | 2016
|Land-cover Classification of Remotely Sensed Data Using Kalman Filtering
British Library Online Contents | 1997
|Decision Tree Classification of Land Cover from Remotely Sensed Data
Online Contents | 1997
|Land Classification Using Remotely Sensed Data: Going Multilabel
Online Contents | 2016
|