Automatic identification and tracking the Arctic sea ice based on sequential images of FY-3A satellite

Ying Zhou; Cai-lan Gong; Yong Hu; Peng Meng; Wei-wei Ma

doi:10.1117/12.2034650

30 August 2013 Automatic identification and tracking the Arctic sea ice based on sequential images of FY-3A satellite

Ying Zhou, Cai-lan Gong, Yong Hu, Peng Meng, Wei-wei Ma

Proceedings Volume 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications; 89101N (2013) https://doi.org/10.1117/12.2034650
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

This paper developed an automatic identification and tracking method based on the gray feature and geometric feature of the Arctic sea ice in the satellite images. Firstly, sea ice was recognized from the image based on the different spectral characteristic of sea ice, sea water and cloud. Secondly, by considering the gray distribution feature of individual floe, the individual floe identification was performed by combining the sub-region bimodal threshold segmentation with gradient differential technique. Finally, on the basis of geometric feature of the identified floes, the matching of same individual floes in pair images was implemented. Meanwhile, the motion vectors of the matched floes in the pair images were calculated. A series image of the Fram Strait region in June 2011, which was obtained by the Medium Resolution Spectral Imager onboard FENGYUN 3A satellite (FY-3A/MERSI), was used to compute the sea ice motion. The direction of the resulting sea ice motion vectors were found to match well with the average velocity from 1978 to 2003 and the dominant wind and ocean currents in the region.

Citation Download Citation

Ying Zhou, Cai-lan Gong, Yong Hu, Peng Meng, and Wei-wei Ma "Automatic identification and tracking the Arctic sea ice based on sequential images of FY-3A satellite", Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 89101N (30 August 2013); https://doi.org/10.1117/12.2034650

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Clouds

Image segmentation

Satellites

Satellite imaging

Reflectivity

Automatic tracking

Earth observing sensors

Show All Keywords

Keywords/Phrases

Search In:

Publication Years