Ship detection in SAR medium resolution imagery for maritime surveillance: Algorithm validation using AIS data

Author

Ramona, Pelich ; Nicolas, Longepe ; Mercier, Gregoire ; Guillaume, Hajduch ; Garello, Rene

Author_Institution

CLS, Plouzane, France

fYear

2014

fDate

13-18 July 2014

Firstpage

3690

Lastpage

3693

Abstract

In this paper paper we address performances of ship detection algorithms in medium resolution SAR imagery. An automatic validation approach based on coastal AIS data allows to evaluate detectors efficiency. Detection capabilities remain sensitive to dataset features such as SAR imaging characteristics, meteorological conditions or vessel size. The influence of this different key parameters is fully assessed in this study. This analysis is valuable for operational services, allowing to select the most appropriate type of data for different applications in maritime surveillance.

Keywords

radar imaging; search radar; ships; synthetic aperture radar; SAR imaging; SAR medium resolution imagery; automatic validation; coastal AIS data; dataset features; maritime surveillance; meteorological conditions; operational services; ship detection; synthetic aperture radar; vessel size; Detectors; Marine vehicles; Satellites; Surveillance; Synthetic aperture radar; Wind speed; Automatic Identification System (AIS); Synthetic Aperture Radar (SAR); dataset characteristics; operational services; ship detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International

Conference_Location

Quebec City, QC

Type

conf

DOI

10.1109/IGARSS.2014.6947284

Filename

6947284