Compact Decomposition Theory

Cloude, S.R.; Goodenough, D.G.; Chen, H.

doi:10.1109/lgrs.2011.2158983

Cited by 195 publications

(134 citation statements)

References 9 publications

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“…Other research has shown that adding beta to the Cloude-Pottier decomposition and additional parameters to the Touzi decomposition produced better results, outperforming the Freeman-Durden decomposition for rice mapping (Li, Brisco, and Yun 2012;Shao et al 2011). The m-delta decomposition is very similar to the Freeman-Durden decomposition and thus it is not surprising that it performed quite well for rice classification (Cloude, Goodenough, and Chen 2011). The m/RL/RR combination produced the lowest accuracy of about 85%, which is still good enough for effective wetland classification.…”

Section: Resultsmentioning

confidence: 86%

Compact polarimetry assessment for rice and wetland mapping

Brisco

Tedford

et al. 2012

International Journal of Remote Sensing

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Polarimetric RADARSAT-2 data of rice and wetlands are used to simulate compact polarimetry (CP) mode data from the upcoming RADARSAT Constellation Mission (RCM). The simulated CP data are then used to evaluate the information content for rice and wetland mapping using supervised classification, and the results are compared for linear and circular polarization combinations and polarimetric decompositions from the fully polarimetric data and the simulated CP data. The results are consistent for both rice and wetlands and show that the classification accuracy increases as one goes up the polarization hierarchy. The circular polarizations produced the best classification results for the polarization combinations. This result requires further research to verify. Although the CP data did not perform as well as the fully polarimetric data, the results were better than for dual polarization, and this mode may offer the best option for rice and wetland mapping applications because of swath coverage. Note that both the compact simulations and the fully polarimetric data produced operationally suitable classification accuracies. Additional research is underway to evaluate the monitoring capability of this new CP mode. This article describes the approach used for the analyses and the classification results for both rice and wetlands.

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Section: Resultsmentioning

confidence: 86%

Compact polarimetry assessment for rice and wetland mapping

Brisco

Tedford

et al. 2012

International Journal of Remote Sensing

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“…The α s is an approximation to the α (from the H/α-decomposition), and it describes the dominant scattering mechanism [22]. In addition, the α s is closely related to the ellipticity angle [26]. These groups are used in the discussion part in Section 4 when exploring the features ability to separate various sea ice types as well the correlation between RI-1 and RS-2.…”

Section: Polarimetric Theorymentioning

confidence: 99%

“…The same framework is utilized here when analysing the correlation values obtained from the Spearman's correlation coefficient. [5,9,26,30,31]. (b); the HP features sorted into groups.…”

Section: Polarimetric Theorymentioning

confidence: 99%

Assessment of RISAT-1 and Radarsat-2 for Sea Ice Observations from a Hybrid-Polarity Perspective

2017

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Utilizing several Synthetic Aperture Radar (SAR) missions will provide a data set with higher temporal resolution. It is of great importance to understand the difference between various available sensors and polarization modes and to consider how to homogenize the data sets for a following combined analysis. In this study, a uniform and consistent analysis across different SAR missions is carried out. Three pairs of overlapping hybrid-and full-polarimetric C-band SAR scenes from the Radar Imaging Satellite-1 (RISAT-1) and Radarsat-2 satellites are used. The overlapping Radarsat-2 and RISAT-1 scenes are taken close in time, with a relatively similar incidence angle covering sea ice in the Fram Strait and Northeast Greenland in September 2015. The main objective of this study is to identify the similarities and dissimilarities between a simulated and a real hybrid-polarity (HP) SAR system. The similarities and dissimilarities between the two sensors are evaluated using 13 HP features. The results indicate a similar separability between the sea ice types identified within the real HP system in RISAT-1 and the simulated HP system from Radarsat-2. The HP features that are sensitive to surface scattering and depolarization due to volume scattering showed great potential for separating various sea ice types. A subset of features (the second parameter in the Stokes vector, the ratio between the HP intensity coefficients, and the α s angle) were affected by the non-circularity property of the transmitted wave in the simulated HP system across all the scene pairs. Overall, the best features, showing high separability between various sea ice types and which are invariant to the non-circularity property of the transmitted wave, are the intensity coefficients from the right-hand circular transmit and the linear horizontal receive channel and the right-hand circular on both the transmit and the receive channel, and the first parameter in the Stokes vector.

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“…Although there is reduced information of CP from its 2 × 2 covariance matrix of the backscattered field compared with fully-polarimetric data, it has shown great potential and similar performance to FP data in crop mapping, classification, phenology retrieval and crop monitoring [3,[21][22][23]. CP decomposition methods proposed recently also extended the application of CP data [21,24]. Charbonneau et al compared the performance of CP observables with FP data on crops' classification at different growth stages and found that CP Stokes parameters (g 0 , g 1 , g 2 , g 3 ) produced better classification results than FP data at the early growth stage of crops.…”

Section: Introductionmentioning

confidence: 99%

Compact Polarimetric Response of Rape (Brassica napus L.) at C-Band: Analysis and Growth Parameters Inversion

Zhang

Chen

et al. 2017

Remote Sensing

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Growth parameters like biomass, leaf area index (LAI) and stem height play an import role for crop monitoring and yield prediction. Compact polarimetric (CP) SAR has shown great potential and similar performance to fully-polarimetric (FP) SAR in crop mapping and phenology retrieval, but its potential in growth parameters inversion has not been fully explored. In this paper, a time series of images of CP SAR was simulated from five FP SAR data gathered during the entire growth season of rape. CP response of 27 parameters, relying on Stokes parameters and their child parameters, decomposition parameters and backscattering coefficients, were extracted and investigated as a function of days after sowing (DAS) during the whole rape growth cycle to interpret their sensitivity to each growth parameter. Then, random forest (RF) was chosen as an automatic approach for the growth parameters inversion method, and its results were compared with traditional single-parameter regression models. Most of the CP parameters showed high sensitivity with growth parameters and great potential for growth parameters inversion. Among all of the regression models, the quadratic regression model showed the best performance for all of the growth parameters inversion, the best result for biomass inversion was the third component of the Stokes parameters (g 3 ) with R 2 of 0.765 and RMSE of 73.20 g/m 2 . For LAI and stem height was one of the Stokes child parameters, the circular polarization ratio (U c ), with R 2 of 0.857 and 0.923 and RMSE of 0.66 and 18.71 cm, respectively. RF showed the highest accuracy and smallest RMSE for all of three growth parameters inversion; R 2 for biomass, LAI and stem height were 0.93, 0.96 and 0.95, respectively; RMSE were 46.24 g/m 2 , 0.25 and 13.5 cm, respectively. However, there are also some CP parameters, which showed low sensitivity to growth parameters, that had high importance for RF inversion. The results confirmed the potential of CP data and the RF method in growth parameters inversion, but they also confirmed that it was difficult to give a physical interpretation for the RF inversion model.

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Compact Decomposition Theory

Cited by 195 publications

References 9 publications

Compact polarimetry assessment for rice and wetland mapping

Compact polarimetry assessment for rice and wetland mapping

Assessment of RISAT-1 and Radarsat-2 for Sea Ice Observations from a Hybrid-Polarity Perspective

Compact Polarimetric Response of Rape (Brassica napus L.) at C-Band: Analysis and Growth Parameters Inversion

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