A jigger ship's automatic detection method based on VIIRS DNB data

C. X. Gao; Chengcheng Xue; Shi Qiu; Qi Wang; Jian Hu; Chuanrong Li; Yaokai Liu; Yonggang Qian

doi:10.1117/12.2528589

6 September 2019 A jigger ship's automatic detection method based on VIIRS DNB data

C. X. Gao, Chengcheng Xue, Shi Qiu, Qi Wang, Jian Hu, Chuanrong Li, Yaokai Liu, Yonggang Qian

Proceedings Volume 11137, Applications of Digital Image Processing XLII; 111370D (2019) https://doi.org/10.1117/12.2528589
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

The Visible Infrared Imaging Radiometer (VIIRS) day/night band (DNB) onboard Suomi National Polar-orbiting Partnership (NPP) satellite offers a wide range of applications at night, ranging from fire detection, meteorological phenomena to observations of anthropogenic light sources. It is becoming a useful tool to monitor and quantify these ships by detecting the light emitted by the lamps. In this study, a threshold-based method is presented to automatically identify the ships. Before detection, several pre-processing steps including contrast enhancement and instrument noise removal are conducted; then the background value is subtracted from the original image to reduce the blurred area around the target, which can further make the gathered ships isolated; In addition, the effects of some interference sources such as ionospheric energetic particles and thin clouds are also taken into consideration for improving the detection rate. Finally, the proposed threshold-based method is applied to the DNB images over study areas in Yellow Sea and Bohai Sea in China. The detection results show that the proposed method can detect more than 81% of ships when comparing with those from Automatic Identification System (AIS).

Conference Presentation

Citation Download Citation

C. X. Gao, Chengcheng Xue, Shi Qiu, Qi Wang, Jian Hu, Chuanrong Li, Yaokai Liu, and Yonggang Qian "A jigger ship's automatic detection method based on VIIRS DNB data", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111370D (6 September 2019); https://doi.org/10.1117/12.2528589

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