Ocean wind direction estimation from SAR images using morphological-numerical analysis

Author

Shamshiri, Alireza ; Kehavarz, Ahmad ; Mansouri, Yaser

Author_Institution

Dept. of Electr. Eng., Islamic Azad Univ., Bushehr, Iran

fYear

2013

fDate

21-26 July 2013

Firstpage

1614

Lastpage

1617

Abstract

Wind direction estimation is a very important factor in many oceanic studies and applications (such as oil spill, wave, ocean circulation, wind speed calculations...). Also, Synthetic Aperture Radar (SAR) has capability of providing high resolution images from sea surface wind track in every environmental condition. So, wind field analysis based on SAR image descriptor gives the researchers more opportunities. In this paper we introduce a new method using mathematical morphological image analysis for wind direction estimation from SAR images.

Keywords

image resolution; numerical analysis; ocean waves; oceanographic techniques; oil pollution; radar imaging; radar resolution; remote sensing by radar; synthetic aperture radar; wind; SAR image descriptor; environmental condition; high resolution images; mathematical morphological image analysis; morphological-numerical analysis; ocean circulation; ocean wave; ocean wind direction estimation; oil spill; sea surface wind track; synthetic aperture radar; wind field analysis; wind speed calculations; Sea surface; Smoothing methods; Surface morphology; Synthetic aperture radar; Vectors; Wind speed; Ocean wind; Synthetic Aperture Radars (SAR); image analysis; wind direction;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723100

Filename

6723100