Comparison of Compact Polarimetric Synthetic Aperture Radar Modes

Nord, Michael E.; Ainsworth, T.L.; Lee, Jong-Sen; Stacy, N.J.S.

doi:10.1109/tgrs.2008.2000925

Cited by 185 publications

(113 citation statements)

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“…However, the results from the CP radar should be better than those from a single-polarized or dual-polarized SAR. Many investigations (Dubois-Fernandez et al 2008;Ainsworth, Kelly, and Lee 2009;Nord et al 2009;Charbonneau et al 2010) have confirmed these results for various applications.…”

Section: Introductionmentioning

confidence: 62%

“…Recently, compact polarimetry (CP) has been suggested as an alternative SAR configuration to maintain swath coverage while increasing information content compared to single-polarization or dual-polarization systems (Souyris and Mingot 2002;Raney 2007;Ainsworth, Kelly, and Lee 2009;Dubois-Fernandez et al 2008;Nord et al 2009). The m-delta decomposition for CP data is very similar to the Freeman-Durden decomposition (Charbonneau et al 2010).…”

Section: Introductionmentioning

confidence: 99%

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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: Introductionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Compact polarimetry assessment for rice and wetland mapping

Brisco

Tedford

et al. 2012

International Journal of Remote Sensing

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“…1 shows three possible modes of compact polarimetric imaging. The circular and hybrid polarimetric data in different transmitreceive modes were synthesized from this linear polarimetric data as per the methods given below [1,19,21,22,26] in Table 2. SARSCAPE c software by SARMAP and PolSARPro c software by ESA for the synthesis and analysis of ALOS-PALSAR polarimetric SAR data have been used.…”

Section: Synthesis Of Circular and Hybrid Polarimetric Data From Linementioning

confidence: 99%

“…But it also reduces the perpixel information content in dual-polarization data [1]. In recent times a concept of hybrid-dual polarization imaging mode is gaining momentum where the transmission polarization is either 'circular' (called CTLR mode) or linear rotated by 45 • with respect to H or V (called π/4 mode), while the received polarizations are coherent H and V [1,19,21,22,25,26]. These imaging modes, apart from having the advantages of standard dual-polarization modes, are also capable of retaining the complete polarimetric information of azimuthally symmetric targets pertaining to the backscattered field.…”

Section: Introductionmentioning

confidence: 99%

Assessment of L-Band Sar Data at Different Polarization Combinations for Crop and Other Landuse Classification

Haldar¹,

Das²,

Mohan³

et al. 2012

PIER B

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Abstract-In the present study evaluation of L-band SAR data at different polarization combinations in linear, circular as well as hybrid polarimetric imaging modes for crop and other landuse classifications has been carried out. Full-polarimetric radar data contains all the scattering information for any arbitrary polarization state, hence data of any combination of transmit and receive polarizations can be synthesized, mathematically from full-polarimetric data. Circular and various modes of hybrid polarimetric data (where the transmitter polarization is either circular or orientated at 45 • , called π/4 and the receivers are at horizontal and vertical polarizations with respect to the radar line of sight) were synthesized (simulated) from ALOS-PALSAR fullpolarimetric data of 14th December 2008 over central state farm central latitude and longitude 29 • 15 N/75 • 43 E and bounds for northwest corner is 29 • 24 N/75 • 37 E and southeast corner is 29 • 07 N/75 • 48 E in Hisar, Haryana (India) Supervised classification was conducted for crops and few other landuse classes based on ground truth measurements using maximum-likelihood distance measures derived from the complex Wishart distribution of SAR data at various polarization combinations. It has been observed that linear fullpolarimetric data showed maximum classification accuracy (92%) followed by circular-full (89%) and circular-dual polarimetric data (87%), which was followed by hybrid polarimetric data (73-75%) and then linear dual polarimetric data (63-71%). Among the linear dual polarimetric data, co-polarization complex data showed better classification accuracy than the cross-polarization data. Also multidate single polarization SAR data over central state farm during rabi (winter) season was analyzed and it was observed that single date fullpolarimetric SAR data produced equally good classification result as the multi-date single polarization SAR data.

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“…There are three different CP configurations (Nord et al, 2009). The first one is the π /4 mode, with a slant linear transmission and horizontal (H) and vertical (V) receptions (Souyris et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

et al. 2016

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Abstract. In this paper we introduce a parameter for the retrieval of the thickness of undeformed first-year sea ice that is specifically adapted to compact polarimetric (CP) synthetic aperture radar (SAR) images. The parameter is denoted as the "CP ratio". In model simulations we investigated the sensitivity of the CP ratio to the dielectric constant, ice thickness, ice surface roughness, and radar incidence angle. From the results of the simulations we deduced optimal sea ice conditions and radar incidence angles for the ice thickness retrieval. C-band SAR data acquired over the Labrador Sea in circular transmit and linear receive (CTLR) mode were generated from RADARSAT-2 quad-polarization images. In comparison with results from helicopter-borne measurements, we tested different empirical equations for the retrieval of ice thickness. An exponential fit between the CP ratio and ice thickness provides the most reliable results. Based on a validation using other compact polarimetric SAR images from the same region, we found a root mean square (rms) error of 8 cm and a maximum correlation coefficient of 0.94 for the retrieval procedure when applying it to level ice between 0.1 and 0.8 m thick.

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Comparison of Compact Polarimetric Synthetic Aperture Radar Modes

Cited by 185 publications

References 10 publications

Compact polarimetry assessment for rice and wetland mapping

Compact polarimetry assessment for rice and wetland mapping

Assessment of L-Band Sar Data at Different Polarization Combinations for Crop and Other Landuse Classification

Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

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