DocumentCode
352620
Title
A neural network approach for the retrieval of profiles of liquid water from radiometric data
Author
Del Frate, F. ; Schiavon, G.
Author_Institution
Ingegneria DISP, Tor Vergata Univ., Rome, Italy
Volume
6
fYear
2000
fDate
2000
Firstpage
2803
Abstract
An inversion technique based on neural networks is presented to retrieve profiles of cloud liquid from ground-based multifrequency radiometric data. In the study the use of neural networks is also applied for the dimensionality reduction of the unknown vectors. The effectiveness of the approach has been evaluated comparing its performance to that of more traditional linear techniques
Keywords
atmospheric techniques; clouds; geophysical signal processing; neural nets; radiometry; remote sensing; atmosphere; cloud; dimensionality reduction; ground-based multifrequency radiometry; inversion; liquid water; measurement technique; microwave radiometry; neural net; neural network; remote sensing; retrieval; vertical profile; Atmospheric measurements; Atmospheric modeling; Brightness temperature; Clouds; Frequency; Humidity; Ice; Information retrieval; Microwave radiometry; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-6359-0
Type
conf
DOI
10.1109/IGARSS.2000.859721
Filename
859721
Link To Document