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In this paper, we propose a new approach for improving boreal forest soil moisture estimation using L-band microwave radiometer. The effect is achieved by introducing improved description of forest canopy contribution from multisensor SAR measurements.
Scattering structure features of targets is of great importance for Synthetic Aperture Radar (SAR) image analysis. In this paper, a novel algorithm for aircraft recognition in high resolution apron area of SAR images is proposed. The algorithm combines the strength of gradient saliency map and scattering structure features to improve accuracy and efficiency. Specially, Constant False-Alarm Rate (CFAR)...
The existing SAR image quality assessment method could not be effectively used for assessing the performance of object detection. Thus, it is difficult to select SAR images and corresponding detection algorithms for SAR object detection. By analyzing the relationship between object detection results and basic image quality indicators, this paper studies the image quality assessment for image object...
Estimation of vertical ground displacements due to seasonal periods of freezing and thawing was carried out on the Selenga River mouth using differential radar interferometry. The results of seasonal radar interferometry measurements for 2008–2010 have been compared with the survey data for 2011, under the assumption that the seasonal deformation is comparable for different years and lie within the...
Water surface extraction using satellite images proves to be of great importance due to its utility in several applications such as land use, floods management and monitoring. Among the wide range of sensors orbiting around the earth, Synthetic Aperture Radar (SAR) proves to be a very effective tool in this context due to its robustness to unfavorable weather conditions and its cloud penetrating capabilities...
Recently airborne SAR at very high frequencies, such as X- and Ku-bands, has been widely studied for many applications. In these studies, the backscatter properties at different frequencies have been well discussed. However, these properties of the urban objects and structures have not been sufficiently discussed yet. In this paper, we focus on evaluating the difference of Ku- and X-band SAR intensity...
In geosynchronous (GEO) synthetic aperture radar (SAR), the high orbit height and the long integration time would lead to the significant round-trip delay time and the curved flight path, thus the traditional range model with ‘stop-go’ assumption will be ineffective. In this Paper, based on the analysis of instantaneous Doppler frequency of GEO SAR, an equivalent midpoint mathematical model is proposed...
Linear frequency modulated (LFM) continuous wave (CW) synthetic aperture radar (SAR) is promising in airborne earth observation with compact, lightweight, cost-effective and high resolution advantages. For CW imaging radars, however, weak targets may be submerged by sidelobes of strong range interferences including transmitter leakage and nadir signal, especially when the slant range is far. This...
2-D CS SAR imaging endures great computational complexity since it has to deal with a large measurement matrix when processing the raw data. The skew-view SAR signal features large range walk and small range curvature, which enable the raw data be processed in range and azimuth separately. In this paper, a two-dimension-separated compressive sensing method of is skew-view SAR presented. It can reduce...
An automatic approach to detect bilge dumping in synthetic aperture radar (SAR) images over Southern African oceans is proposed. The approach uses a threshold-based algorithm and a region-based active contour model (ACM) algorithm to achieve an efficient bilge dump detection tool. A threshold method was used to detect areas with a high bilge dump probability while the ACM method is used to get closed...
Deceptive jamming, covering the true targets and producing false targets in the SAR image, has been widely applied in electronic warfare. To effectively suppress the deceptive jamming generated by detecting parameters of target echoes, this work proposes a novel anti-jamming approach. Firstly, the chirp signal with varying initial phase is predesigned and transmitted. Then, the random initial phases...
The on-going European Space Agency (ESA) Sentinel-1 mission has introduced an important change in the management of SAR data, freely opening the archives of the generated Level-0 and Level-1 products to the scientific community.
This paper presents a new simulator for spaceborne SAR on-board imaging process on mobile GPUs. The system can generate raw data and perform imaging process in real time. Due to introducing low power GPUs, it has low power consumption, light weight and high computing capability. This simulator has the unique structure, which can guarantee its real-time processing. The experimented results indicate...
Simultaneous synthetic aperture radar (SAR) imaging and ground moving target indication (GMTI) is of great importance in remote sensing applications, but it is difficult to be implemented for existing methods due to the cross-interferences between stationary targets/clutter and moving targets. Generally, the imaged moving targets may be displaced in azimuth according to their radial velocities and...
This paper has proposed a new method that integrates the advantage of optical image for delineating land surface boundaries and the superiority of PolSAR data for obtaining corn information despite bad weather conditions. The comparison between the proposed method and both pixel- and object-based method was made to test their performance for corn classification. The analysis shows that the proposed...
This paper develops a novel oil spill detection approach by using the multitemporal optical remote sensing images. Differently from the traditional oil spill detection methods that mainly carried out on a monotemporal image, the proposed approach opens a new perspective to solve the considered oil spill detection problem in a multitemporal domain by investigating the potential capability of change...
During last years, several studies related to remote sensing technologies analyzed the processes to extract and classify slicks from SAR imagery. These images are used, among other purposes, for monitoring coastal and marine waters pollution where oil floating on the surface becomes visible because it damps the short gravity-capillary waves that are responsible for the radar backscattering [14].
This study proposed a novel method to analyze slick-free and oil covered sea surface backscattering in the special case of Deepwater Horizon (DWH) oil spill accident based on combination of tilted Bragg scattering and volume scattering components. The DWH accident represents a particular and challenging case due to the very large amount of leaked oil that came from the bottom of the ocean. The proposed...
The potential of active learning (AL) methods for improving the marine oil spills identification system is exploited using 10-year(2004–2013) RADARSAT data. Six basic AL methods are proposed according to the uncertainty criteria and coupled with the support vector machine(SVM) classifier. As many as 56 commonly used features are used for the classification. The AUC measures are estimated using the...
In the past few years nonlocal filters have emerged as a serious contender for denoising synthetic aperture radar (SAR) images, offering superior noise reduction and detail preservation compared to many other filters. In this manuscript we analyze how nonlocal filters, whose computational costs were so far prohibitive for large scale processing, can be implemented efficiently on graphics processing...
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