A Novel Successive Cancellation Method to Retrieve Sea Wave Components from Spatio-Temporal Remote Sensing Image Sequences

Wei, Yanbo; Zhang, Jiankang; Lu, Zhizhong

doi:10.3390/rs8070607

Cited by 17 publications

(12 citation statements)

References 24 publications

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“…For the 2D cases, this issue seemed to matter less due to availability of information in the lateral wave number, which might compensate the frequency deviation effect. The above confirms and expands on previous considerations on conventional methods presented in literature (e.g., the paper [13] mentioned in the introduction as a part of the literature review, also [32,33]).…”

Section: Appendix B Utilization Of the Conventional Methods For The Rsupporting

confidence: 88%

“…In [12], the accuracy of the method for 2D radar images was analyzed and found to be approximately 15 % of the significant wave height for a wide range of wind sea states. In [13], a novel successive cancellation based method was proposed to avoid leakage in the spectral domain. It was also pointed out there that, due to the uniform sampling of the sea surface in radar images, the correspondent components in a wave number-frequency domain cannot always strictly satisfy the dispersion relation, which results in inaccurate wave retrieval.…”

Section: Introductionmentioning

confidence: 99%

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Inversion of Nearshore X-Band Radar Images to Sea Surface Elevation Maps

2018

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A new method to invert X-band radar images for linear shoaling conditions is proposed. The commonly used approach for this type of inverse problems is the Fourier transform. Unlike in deep water conditions, in the shoaling region, waves are modulated both in terms of wavelength and amplitude. However, Fourier analysis assumes spacial and temporal periodicity, and homogeneity limiting its applicability to this region. In order to overcome these limitations, a wavelet based technique is developed. The proposed technique treats every spatial radar image within the time sequence individually, so no information on the dispersion relation is required. For validation purposes, surface elevation range-time shoaling realizations based on the mild slope equation are prepared. A radar imaging model including tilt and shadowing modulations, speckle noise, and the radar equation is applied to these realizations to provide modeled grazing incidence radar images. The inversion process starts with the application of the continuous wavelet transform independently for each spacial image. The procedure continues with employing a successive range independent modulation transfer function to the wavelet spectra in the wavenumber domain. Then, after a phase shift correction, an inverse continuous wavelet transform is applied. The procedure is finalized by a calibration of the retrieved maps. After the calibration, a thorough comparison between the original and the reconstructed surface elevations is performed. It shows high efficiency of the proposed method in treating wave number and amplitude modulated signals, as well as in addressing local phase shifts due to tilt modulation and noise contamination. The new inversion method is proven to have high accuracy in inhomogeneous conditions. It shows high potential to be implemented for individual wave reconstruction using real aperture radars.

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Section: Appendix B Utilization Of the Conventional Methods For The Rsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Inversion of Nearshore X-Band Radar Images to Sea Surface Elevation Maps

2018

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“…Radar target echo cancellation is an ingenious jamming method that cancels the target echo at the radar receiver [14][15][16][17][18][19][20][21][22]. The core idea lies in transmitting a synthesized replica of the target echo except for its being 180 • out of phase to the radar by an active source.…”

Section: Introductionmentioning

confidence: 99%

Improved ISRJ-Based Radar Target Echo Cancellation Using Frequency Shifting Modulation

Zhao

Wang

et al. 2019

Electronics

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Target echo cancellation is an ingenious method that protects the target of interest (TOI) from being detected by radar. Interrupted-sampling repeater jamming (ISRJ) is a novel deception jamming method for linear frequency modulation (LFM) radar countermeasures, which has been applied in target echo cancellation recently. Compared with the conventional cancellation method, not only can the target echo be successfully cancelled at radar receiver, but a train of false targets is also produced and forms deception jamming by applying the ISRJ technique. In this paper, an improved radar target echo cancellation method based on ISRJ is proposed that utilizes an extra frequency shifting modulation on the intercepted LFM radar signal. The jammer power is more efficiently utilized by the proposed method. Moreover, more flexible multi-false-target deception jamming can be obtained by adjusting the interrupted sampling frequency. The real target remains effectively protected by the false preceding target in the presence of amplitude mismatch of cancellation signal and target echo. Numerical simulations and measured data experiments are conducted to demonstrate the effectiveness of the proposed method.

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“…In order to make up for the deficiency existing in remote sensing measurement, low-cost marine X-band radars, with the advantage of high resolution and timely feedback, have been broadly used in many monitoring scenarios. X-band radar image sequences have previously been used to measure two-dimensional wave spectra in order to retrieve sea wave components [6,7]. The image sequences of the ocean surface can be utilized for target identification [8], detection [9], mean near-surface current measurement [10], and current field measurement [11].…”

Section: Introductionmentioning

confidence: 99%

Study of Algorithms for Wind Direction Retrieval from X-Band Marine Radar Images

et al. 2019

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After decades of research, X-band marine radars have been broadly used for wind measurement. For retrieving the wind direction based on the wind-induced streaks, a lot of effort has been expended on three celebrated approaches—the local gradient method (LGM), the adaptive reduced method (ARM), and the energy spectrum method (ESM). This paper presents a scientific study of these methods. The contrast of retrieving the real measured marine radar images and vane measured results is evaluated, in perspective of the error statistics and algorithm operation efficiency. Interference factors, such as the historical information of the measured area, reference wind speed, and sea condition showing in the monitoring equipment are also concerned. The tentative results showed that LGM is robust, which can be implemented in most radar images, because it allows for a lower selection of requirements compared with the other two methods. For ARM, the better retrieval performance is a tradeoff with extra computation, which is expensive. ESM is superior to the other two algorithms in terms of accuracy and computation load; however, this algorithm is sensitive in rain-contaminated radar images, meaning it is a good choice for data post-processing in the lab.

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A Novel Successive Cancellation Method to Retrieve Sea Wave Components from Spatio-Temporal Remote Sensing Image Sequences

Cited by 17 publications

References 24 publications

Inversion of Nearshore X-Band Radar Images to Sea Surface Elevation Maps

Inversion of Nearshore X-Band Radar Images to Sea Surface Elevation Maps

Improved ISRJ-Based Radar Target Echo Cancellation Using Frequency Shifting Modulation

Study of Algorithms for Wind Direction Retrieval from X-Band Marine Radar Images

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