Results 151 to 160 of about 42,245 (206)

Oil spill detection by satellite remote sensing

Remote Sensing of Environment, 2005
This paper presents the state of the art for oil spill detection in the world oceans. We discuss different satellite sensors and oil spill detectability under varying conditions. In particular, we concentrate on the use of manual and automatic approaches to discriminate between oil slicks and look-alikes based on pattern recognition. We conclude with a
Camilla Brekke, Anne H.S. Solberg
openaire   +3 more sources

Oil spill detection with fully polarimetric UAVSAR data

Marine Pollution Bulletin, 2011
In this study, two ocean oil spill detection approaches based on four scattering matrices measured by fully polarimetric synthetic aperture radar (SAR) are presented and compared. The first algorithm is based on the co-polar correlation coefficient, ρ, and the scattering matrix decomposition parameters, Cloud entropy (H), mean scattering angle (α) and ...
Peng, Liu, Xiaofeng, Li, John J, Qu, Wenguang, Wang, Chaofang, Zhao, William, Pichel   +5 more
openaire   +4 more sources

Detecting oil spills from space

SPIE Newsroom, 2010
The potential of oil-spill classification from multispectral data is enhanced by a new technique based on using support-vector machines.
Corucci Linda, Nardelli Fabio, COCOCCIONI, MARCO   +2 more
openaire   +1 more source

Multisource oil spill detection

SPIE Proceedings, 2013
In this paper we discuss how multisource data (wind, ocean-current, optical, bathymetric, automatic identification systems (AIS)) may be used to improve oil spill detection in SAR images, with emphasis on the use of automatic oil spill detection algorithms. We focus particularly on AIS, optical, and bathymetric data.
Arnt B. Salberg, Siri O. Larsen, Maciel Zortea   +2 more
openaire   +1 more source

One-class classification for oil spill detection

Pattern Analysis and Applications, 2009
SAR oil spill classification is a challenging topic, which is tackled by semi-empirical ad hoc approaches supported by very qualified experts. In all cases, the feature space is empirically defined, and two-class classification approaches are used. Although this approach allows achieving acceptable operational results, there is still room for improving
A. GAMBARDELLA, GIACINTO, GIORGIO, M. MIGLIACCIO, A. MONTALI   +3 more
openaire   +2 more sources

Oil spill detection technology for early warning spill prevention

OCEANS 2009, 2009
This paper discusses the development of an oil spill detection and alarm system that provides the marine industry with a reliable, cost-saving mechanism for containing and/or preventing accidental discharges of hydrocarbon-based pollutants. By utilizing an automated spill detection system, hydrocarbon releases are detected in real-time [analogous to a “
Ray Mahr, Chris R. Chase
openaire   +1 more source

Dual-frequency oil spill detection algorithm

2017 Computing and Electromagnetics International Workshop (CEM), 2017
In this paper, we present a drone dual-frequency technique in order to detect thick oil slicks in ocean. From physical point of view, the problem is considered to be a multi-layers wave surface scattering model where we study the reflection of the electromagnetic (EM) waves from the sea layer covered by oil layer.
Bilal Hammoud, Fatima Mazeh, Kassem Jomaa, Hussam Ayad, Fabien Ndagijimana, Ghaleb Faour, Jalal Jomaah   +6 more
openaire   +1 more source

Oil spill detection using microwave images

2013 Fifth International Conference on Advanced Computing (ICoAC), 2013
Oil pollution is the major environmental concern in the world. It is important to detect oil spill and take necessary step to prevent pollution in marine ecosystem. Among several satellite, SAR can provide high resolution images with wide area coverage, day and night, and all weather capabilities. This paper presents anisotropic diffusion filtering and
P. Saranya, K. Vani
openaire   +1 more source

Oil spill detection in SAR imagery

Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002
The possibilities for automatic segmentation of oil slicks and oil slick look-alikes in ERS-1 SAR imagery is investigated. "Spots" in the images are detected using adaptive thresholding and statistical classification of oil slick candidates is performed using geometric properties and gradient-based features. Promising results are shown, but the methods
K.W. Bjerde, A.H.S. Solberg, R. Solberg
openaire   +1 more source