Title :
Neural networks and tree classifiers: an application to rainfall estimation
Author :
Bergès, Jean Claude
Author_Institution :
UMR PRODIG, Univ. Paris, France
Abstract :
The cloud discrimination methods, used to retrieve rainfall fields, are based on statistical relations. Two nonlinear regression methods, artificial neural network and tree classifier are compared in combining TRMM with GOES data.
Keywords :
atmospheric techniques; geophysical signal processing; image classification; meteorological radar; neural nets; radar imaging; rain; regression analysis; remote sensing by radar; trees (mathematics); GOES data; TRMM data; artificial neural network; cloud discrimination; nonlinear regression; rainfall estimation; rainfall fields; statistical analysis; tree classifier; Artificial neural networks; Classification tree analysis; Clouds; Meteorological radar; Meteorology; Neural networks; Radar imaging; Satellites; Spaceborne radar; Temperature;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1293953
