Classification comparisons between dual-pol, compact polarimetric and quad-pol SAR imagery

Ainsworth, T.L.; Kelly, John P.; Lee, J.-S.

doi:10.1016/j.isprsjprs.2008.12.008

Cited by 144 publications

(63 citation statements)

References 13 publications

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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%

“…Single-date multi-polarization SAR data also has the potential to identify crops based on the variation in their scattering signatures in different polarizations. Various authors have reported of achieving significant classification accuracies for crops and other landuse classes using dual and quad polarimetric data from airborne as well as spaceborne SARs [1,6,7,23,24,26]. Although there is a consensus that full-polarimetric imaging modes provide higher classification accuracies than dual polarimetric modes, opinions vary regarding the classification accuracies obtained by different modes of dual polarimetric SARs, including hybrid-dual polarimetric imaging modes.…”

Section: Introductionmentioning

confidence: 99%

“…This helps achieving better range resolution; wider swath and reduces the data processing requirements compared to the full-polarimetric mode. 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].…”

Section: Introductionmentioning

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%

“…So far various planetary mission SARs have been operated in hybrid polarimetric modes and ISRO's RISAT-1 is going be the first earth observation space-borne SAR to incorporate the hybrid CTLR mode along with other modes of operation. An interesting aspect of the hybrid polarization imaging modes, the CTLR and π/4 modes, is the possibility of extending their applicability by incorporating the data into a polarimetric scattering model [1,16,26,27], which leads to the descriptive name 'compact polarimetry' for both the CTLR and π/4 imaging modes. On the basis of symmetry properties of geophysical media, Lavalle et al [9] proposed a reconstruction algorithm of the full-polarimetric information from a compact polarimetric dataset.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Synthesis Of Circular and Hybrid Polarimetric Data From Linementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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Estimation of Melt Pond Fractions on First Year Sea Ice Using Compact Polarization SAR

Perrie

et al. 2017

JGR Oceans

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Melt ponds are a common feature on Arctic sea ice. They are linked to the sea ice surface albedo and transmittance of energy to the ocean from the atmosphere and thus constitute an important process to parameterize in Arctic climate models and simulations. This paper presents a first attempt to retrieve the melt pond fraction from hybrid‐polarized compact polarization (CP) SAR imagery, which has wider swath and shorter revisit time than the quad‐polarization systems, e.g., from RADARSAT‐2 (RS‐2). The co‐polarization (co‐pol) ratio has been verified to provide estimates of melt pond fractions. However, it is a challenge to link CP parameters and the co‐pol ratio. The theoretical possibility is presented, for making this linkage with the CP parameter C22/C11 (the ratio between the elements of the coherence matrix of CP SAR) for melt pond detection and monitoring with the tilted‐Bragg scattering model for the ocean surface. The empirical transformed formulation, denoted as the “compact polarization and quad‐pol” (“CPQP”) model, is proposed, based on 2062 RS‐2 quad‐pol SAR images, collocated with in situ measurements. We compared the retrieved melt pond fraction with CP parameters simulated from quad‐pol SAR data with results retrieved from the co‐pol ratio from quad‐pol SAR observations acquired during the Arctic‐Ice (Arctic‐Ice Covered Ecosystem in a Rapidly Changing Environment) field project. The results are shown to be comparable for observed melt pond measurements in spatial and temporal distributions. Thus, the utility of CP mode SAR for melt pond fraction estimation on first year level ice is presented.

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Ocean and Coastal Area Information Retrieval Using SAR Polarimetry

Buono

Ferrentino²,

Liu³

et al. 2022

Synthetic Aperture Radar (SAR) Data Applications

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Classification comparisons between dual-pol, compact polarimetric and quad-pol SAR imagery

Cited by 144 publications

References 13 publications

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

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

Estimation of Melt Pond Fractions on First Year Sea Ice Using Compact Polarization SAR

Ocean and Coastal Area Information Retrieval Using SAR Polarimetry

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