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In this study, we focus on the investigations of oil slicks observed by TerraSAR-X and TanDEM-X operating over the drilling platforms in Forties oil field, the largest one in the North Sea. Previous researches indicate that oil spills observed by consecutive SAR images represent the same leaks, but in this paper, we presented four cases which suggest completely different situations of oil spill variations...
Synthetic Aperture Radar (SAR) imaging can suffer distortion in the presence of phase errors in the acquired signal data caused by the non-ideal platform motion trajectory. Autofocus algorithms are used to remove the undesired phase error through signal processing techniques. Multi-channel convolution model of the SAR autofocus problem is established on the condition that phase error is range-independent...
Sea ice charts are provided operationally by the Canadian Ice Service (CIS) for the convenience of people in high-latitude regions. Hence, approaches to ice-water discrimination are in demand. An approach is proposed in this paper, in which no manual interpretation is involved in the selection of training data. It is done based on the discrepancy of incidence angle dependence between sea ice and open...
Conditional random fields (CRF) model is suitable for image segmentation because this model directly defines the posterior distribution as a Gibbs field and allows one to capture the dependencies of the observed data. However, this model has a limited ability to capture the high-order label dependencies with only the pairwise potential being constructed generally. Moreover, for synthetic aperture...
For image segmentation, methods based on Markov random field (MRF) have been widely used due to the capability of incorporating contextual information into account. Among these methods, the recently proposed Triplet Markov fields (TMF) model enhances the image nonstationary modeling by introducing an auxiliary field. According to the introduced auxiliary field, TMF can partition the nonstationary...
In view of the speckle noise in the SAR images, utilizing the Contourlet's advantages of multiscale, localization, directionality and anisotropy, a new SAR image fusion segmentation algorithm based on the persistence and clustering in the Contourlet domain is proposed in this paper. The algorithm captures the persistence and clustering of the Contourlet transform, which is modeled by HMT and MRF,...
Safety of shipping is a growing concern. The causes of shipping casualties are various, while over 30% of the casualties are due to bad weather. Heavy sea state and severe weather conditions have caused the loss of more than 200 large cargo vessels within 20 years between 1981 and 2000. Remote sensing techniques, particularly the active microwave radar provides global sea surface observations for...
Because of the property that synthetic aperture radar (SAR) image includes plenty of multiplicative speckle noise, a new segmentation algorithm is proposed based on the mixture context and the wavelet hidden-class-label Markov random field (MRF). In our paper, a wavelet mixture heavy-tailed model is constructed, then the hidden-class-label MRF is extended to the wavelet domain to suppress the effect...
The Synthetic Aperture Radar (SAR) onboard the European Satellite ERS-2 is operated in wave mode over the global oceans whenever no image mode data acquisition is requested. In the present paper new SAR algorithms to derive sea state at German Aerospace Center (DLR) are shortly introduced and used to determine SAR derived ocean parameters from wave mode data. Global Significant wave height statistics...
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