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

Volume

2

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

1010

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.774515

Filename

774515