DocumentCode
2221866
Title
Coastal and maritime monitoring using polarimetric and stripmap COSMO SkyMed images
Author
Dellepiane, Silvana ; Angiati, Elena
Author_Institution
Dept. of Naval, Electr., Electron., & Telecommun. Eng. (DITEN), Univ. degli Studi di Genova- ITALY, Genoa, Italy
fYear
2012
fDate
22-27 July 2012
Firstpage
7613
Lastpage
7616
Abstract
In the context of remote sensing application to land monitoring, the problem of sea and ocean monitoring from SAR images is addressed in this paper. The high-resolution multitemporal and Polarimetric observation capability offered by the current COSMO-SkyMed Synthetic Aperture Radar (SAR) constellation is exploited. Various image processing algorithms based on non-linear filtering, segmentation, and data fusion are presented which help the location of different objects/phenomena, such as ships, surface changes, waves, etc. This work is framed in the context of two projects funded by the Italian Space Agency1. Experiments are performed on COSMO-SkyMed images related to Tyrrhenian and Ligurian Sea (Italy).
Keywords
geophysical image processing; image fusion; image segmentation; oceanographic techniques; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed SAR constellation; COSMO-SkyMed images; Italian Space Agency; Italy; Ligurian sea; SAR images; Tyrrhenian sea; coastal monitoring; image processing algorithms; land monitoring; maritime monitoring; nonlinear filtering; ocean monitoring; polarimetric STRIPMAP COSMO SkyMed image; polarimetric observation capability; remote sensing application; sea monitoring; synthetic aperture radar; Image segmentation; Marine vehicles; Monitoring; Sea measurements; Speckle; Synthetic aperture radar; Cosmo/Skymed; Sea monitoring; Segmentation; data fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351865
Filename
6351865
Link To Document