DocumentCode
410528
Title
Neural networks and tree classifiers: an application to rainfall estimation
Author
Bergès, Jean Claude
Author_Institution
UMR PRODIG, Univ. Paris, France
Volume
2
fYear
2003
fDate
21-25 July 2003
Firstpage
887
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1293953
Filename
1293953
Link To Document