Results 241 to 250 of about 4,776 (292)

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
Attilio Gambardella, Giorgio Giacinto, Maurizio Migliaccio, Andrea Montali   +3 more
openaire   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Oil Spill Detection in Hybrid-Polarimetric SAR Images

IEEE Transactions on Geoscience and Remote Sensing, 2014
Oil spill detection in SAR images operating in a hybrid-polarimetric mode is examined. We propose and review several strategies for oil spill detection in hybrid-polarimetric SAR data. The retrieved measures are successfully applied to SAR data covering oil spill experiments outside Norway and the Deepwater Horizon incident in the Gulf of Mexico. It is
Arnt-Børre Salberg, Anne H Schistad Solberg   +1 more
exaly   +2 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 ...
Xiaofeng Li, John J Qu, Wenguang Wang
exaly   +3 more sources

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
exaly   +2 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

An Improved Method for Oil Spill Detection

2018 6th International Conference on Multimedia Computing and Systems (ICMCS), 2018
Constrained energy minimization (CEM) extracts target signatures from hyperspectral images and multispectral images by suppressing the energy of background using a FIR filter. While the energy of background is described by the correlation matrix of the whole image, the target signatures could also be suppressed if they occupy a large proportion of the ...
Qianyu Wu, Xinyue Zhang 0011, Xudong Zhang 0001   +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