Segmentation and wake removal of seafaring vessels in optical satellite images

Henri Bouma; Rob J. Dekker; Robin M. Schoemaker; Ali A. Mohamoud

doi:10.1117/12.2029791

15 October 2013 Segmentation and wake removal of seafaring vessels in optical satellite images

Henri Bouma, Rob J. Dekker, Robin M. Schoemaker, Ali A. Mohamoud

Proceedings Volume 8897, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing; 88970B (2013) https://doi.org/10.1117/12.2029791
Event: SPIE Security + Defence, 2013, Dresden, Germany

Abstract

This paper aims at the segmentation of seafaring vessels in optical satellite images, which allows an accurate length estimation. In maritime situation awareness, vessel length is an important parameter to classify a vessel. The proposed segmentation system consists of robust foreground-background separation, wake detection and ship-wake separation, simultaneous position and profile clustering and a special module for small vessel segmentation. We compared our system with a baseline implementation on 53 vessels that were observed with GeoEye-1. The results show that the relative L1 error in the length estimation is reduced from 3.9 to 0.5, which is an improvement of 87%. We learned that the wake removal is an important element for the accurate segmentation and length estimation of ships.

Citation Download Citation

Henri Bouma, Rob J. Dekker, Robin M. Schoemaker, and Ali A. Mohamoud "Segmentation and wake removal of seafaring vessels in optical satellite images", Proc. SPIE 8897, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing, 88970B (15 October 2013); https://doi.org/10.1117/12.2029791

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