Title :
Neural networks based algorithms for sea surface wind speed retrieval using SSM/I data and their validation
Author :
Zabolotskikh, Elizaveta V. ; Mitnik, Leonid M. ; Bobylev, Leonid P. ; Johannessen, Ola M.
Author_Institution :
Nansen Int. Environ. & Remote Sensing Centre, St. Petersburg, Russia
fDate :
6/21/1905 12:00:00 AM
Abstract :
The algorithms for sea surface wind speed retrieval from Special Sensor Microwave/Imager data based on a neural networks approach and some physical limitations are considered. Different physical limitations, based on the atmospheric absorption and applied to training and testing data sets, are used. It is shown that the best results (root mean square difference=1.05 m/s) were obtained for the limitations of horizontal uniformity of the atmosphere with the absence of large absorption
Keywords :
neural nets; oceanographic techniques; remote sensing; velocity measurement; wind; SSM/I data; Special Sensor Microwave/Imager data; atmospheric absorption; atmospheric horizontal uniformity; data validation; neural networks based algorithms; physical limitations; sea surface wind speed retrieval; Electromagnetic wave absorption; Image retrieval; Image sensors; Information retrieval; Microwave sensors; Neural networks; Root mean square; Sea surface; Testing; Wind speed;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
Print_ISBN :
0-7803-5207-6
DOI :
10.1109/IGARSS.1999.774515
