Comparing Compact and Quadrature Polarimetric SAR Performance

Raney, R. K.

doi:10.1109/lgrs.2016.2550863

Cited by 49 publications

(23 citation statements)

References 16 publications

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“…Compared with FP SAR, CP SAR is a new type of sensor with a wider swath of coverage and smaller energy budget [18]. According to the polarization state, three CP SAR modes exist, including π/4, dual circular polarization, and circular transmission and linear reception (CTLR) polarization [19][20][21]. The CTLR mode is simpler, more stable and less sensitive to noise than the other two modes.…”

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confidence: 99%

Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR

et al. 2019

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Polarimetric synthetic aperture radar (SAR) is currently drawing more attention due to its advantage in Earth observations, especially in ship detection. In order to establish a reliable feature selection method for marine vessel monitoring purposes, forty features are extracted via polarimetric decomposition in the full-polarimetric (FP), compact-polarimetric (CP), and dual-polarimetric (DP) modes. These features were comprehensively quantified and evaluated using the Euclidean distance and mutual information, and the result indicated that the features in CP SAR are better than those of FP or DP SAR in general. The CP SAR features are thus further studied, and a new feature, named phase factor, in CP SAR mode is presented that can distinguish ships and the sea surface by the constant 0 without complex calculation. Furthermore, the phase factor is independent of the sea surface roughness, and hence it performs stably for ship detection even in high sea states. Experiments demonstrated that the ship detection performance of the phase factor detector is better than that of roundness, delta, HESA and CFAR detectors in low, medium and high sea states.2 of 23 much better. Qin et al. [3] proposed a novel CFAR detection algorithm for high-resolution SAR images using the generalized Gamma distribution (GΓD), and the performance of the proposed algorithm is better than the Weibull distribution. However, with the higher resolution of the SAR image, the sea clutter becomes complex in the time and spatial domains, and then the existing models are not suitable, resulting in the severe degradation of the CFAR detection performance and many false alarms [4]. Additionally, the parameter estimation is complex, and the threshold cannot be acquired easily [5].To overcome the drawbacks of the CFAR method, ship detection methods based on new features have been studied by researchers, and many results has been achieved [6][7][8]. For example, based on Cloude decomposition, Wang et al. [9] used the local uniformity of the third eigenvalue of a polarization coherence matrix (T) to detect ships. Sugimoto et al. [10] combined Yamaguchi decomposition theory and the CFAR method to detect ships by analyzing the differences between the scattering mechanisms of the sea surface and ships. Shirvany et al. [11] indicated the effectiveness of the degree of polarization (DoP) in ship detection. Then, this work was further studied by Touzi et al. [12], who defined an extension of the DoP to enhance significant ship-sea contrasts. In contrast to using a single feature, Yin et al. [13] investigated the capability of m-α and m-χ decompositions in coastal ship detection. Then, three features extracted from compact-polarimetric (CP) SAR were proven to have a good performance in ship detection in [14]. Furthermore, Paes et al. [15] provided a more detailed analysis of the detection capability and sensitivity of δ together with m, µ c ,|µ xy |, and the entropy H ω . Gui et al. [16] extracted a new feature from the proposed power-entropy decomposition, call...

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confidence: 99%

Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR

et al. 2019

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“…The rate of growth was slow in the initial phase but observed fast post mid-July for both early and late sown cases which were reflected in terms of polarimetric parameters for the above plant biophysical parameters. C2 based parameters yielded sensible results but converting C2 to C3 for getting full-pol decomposition did not yield expected results [19]. The Freeman 2 and Van Zyl decomposition did not add any significant result to the Raney decomposition, but Freeman 3 component decomposition shows better results than the other two.…”

Section: Resultsmentioning

confidence: 90%

Cotton Crop Biophysical Parameter Study Using Hybrid/Compact Polarimetric Risat-1 Sar Data

Dave¹,

Haldar²,

Dave³

et al. 2017

PIER M

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Abstract-A hybrid-polarity architecture, consisting of transmitting circular polarisation and receiving two orthogonal linear polarisation and also their relative phase, was used to calculate four Stokes parameters. Different parameters like Degree of Polarisation, Alpha angle, Entropy, Anisotropy, Radar vegetation Index and decompositions like Raney decomposition (m-δ), Freeman-2 and 3 component decompositions were derived from these hybrid data. Crop biophysical parameters viz. plant height, plant age and plant biomass of cotton crops grown under two different environments, i.e., rainfed and irrigated in Guajrat, India were studied with respect to derived polarimetric parameters. Right circular transmitted and horizontally (RH) and vertically (RV ) received backscatter values show good relation with the plant height, age and biomass. RH backscatter −13 dB to −7 dB and RV backscatter from −13 to −10 dB were observed for crop biophysical parameters. Volume component of all decomposition showed strong response to the increase in height, age and biomass of the plant. Radar Vegetation index (RVI) values have also shown significant increase from 0.6 to 0.7 with increasing age of the crop. The rate of growth was slow in the initial phase, but fast post mid-July for both early and late sown cases. The polarimetric parameters were found significantly correlated to the above plant biophysical parameters.

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“…To do so, it is necessary to make some assumptions about the backscattering properties. As highlighted in [25], the appropriate methodology is to directly compare the HP with the FP mode without transforming to a pseudo FP covariance matrix, thus avoiding any assumptions. In this study, we follow Raney's methodology [25] and perform the study on features extracted directly from the simulated HP data.…”

Section: B Hybrid-polarity Theorymentioning

confidence: 99%

“…As highlighted in [25], the appropriate methodology is to directly compare the HP with the FP mode without transforming to a pseudo FP covariance matrix, thus avoiding any assumptions. In this study, we follow Raney's methodology [25] and perform the study on features extracted directly from the simulated HP data. It is important to be aware that the use of HP mode in the UAVSAR instrument will not increase the swath width due to the design of the system.…”

Section: B Hybrid-polarity Theorymentioning

confidence: 99%

Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR

Espeseth

Skrunes

Jones

et al. 2017

IEEE Trans. Geosci. Remote Sensing

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Abstract-Oil spill detection using a time series of images acquired off Norway in June 2015 with the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) is examined. The relative performance of a set of features derived from quadpolarization vs. hybrid-polarity modes in detection of various types of slicks as they evolve on a high wind driven sea surface is evaluated. It is shown that the hybrid-polarity mode is comparable to the full-polarimetric mode in its ability to distinguish the various slicks from open water for challenging conditions of high winds (9-12 m/s), small release volumes (0.2 -0.5m3 ), and during the period 0-9 hours following release. The features that contain the cross-polarization component are better for distinguishing the various slicks from open water at later and more developed stages. Although these features are not available in the hybrid-polarity mode, we identify alternative features to achieve similar results. In addition, a clear correlation between the results of individual features and their dependence on particular components within the two-scale Bragg scattering theory is identified. The features that show poor detectability of the oil slicks are those that are independent of the small-scale roughness, while the features resulting in good separability were dependent on several factors in the two-scale Bragg scattering model. We conclude that the hybrid-polarity mode is a viable alternative for SAR-based oil spill detection and monitoring that provides comparable results to those from quad-polarimetric SAR.

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Comparing Compact and Quadrature Polarimetric SAR Performance

Cited by 49 publications

References 16 publications

Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR

Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR

Cotton Crop Biophysical Parameter Study Using Hybrid/Compact Polarimetric Risat-1 Sar Data

Analysis of Evolving Oil Spills in Full-Polarimetric and Hybrid-Polarity SAR

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