Abstract

Canada’s successful space-based earth-observation (EO) radar program has earned widespread and expanding user acceptance following the launch of RADARSAT-1 in 1995. RADARSAT-2, launched in 2007, while providing data continuity for its predecessor’s imaging capabilities, added new polarimetric modes. Canada’s follow-up program, the RADARSAT Constellation Mission (RCM), launched in 2019, while providing continuity for its two predecessors, includes an innovative suite of polarimetric modes. In an effort to make polarimetry accessible to a wide range of operational users, RCM uses a new method called hybrid compact polarization (HCP). There are two essential elements to this approach: (1) transmit only one polarization, circular; and (2) receive two orthogonal polarizations, for which RCM uses H and V. This configuration overcomes the conventional dual and full polarimetric system limitations, which are lacking enough polarimetric information and having a small swath width, respectively. Thus, HCP data can be considered as dual-pol data, while the resulting polarimetric classifications of features in an observed scene are of comparable accuracy as those derived from the traditional fully polarimetric (FP) approach. At the same time, RCM’s HCP methodology is applicable to all imaging modes, including wide swath and ScanSAR, thus overcoming critical limitations of traditional imaging radar polarimetry for operational use. The primary image data products from an HCP radar are different from those of a traditional polarimetric radar. Because the HCP modes transmit circularly polarized signals, the data processing to extract polarimetric information requires different approaches than those used for conventional linearly polarized polarimetric data. Operational users, as well as researchers and students, are most likely to achieve disappointing results if they work with traditional polarimetric processing tools. New tools are required. Existing tutorials, older seminar notes, and reference papers are not sufficient, and if left unrevised, could succeed in discouraging further use of RCM polarimetric data. This paper is designed to provide an initial response to that need. A systematic review of studies that used HCP SAR data for environmental monitoring is also provided. Based on this review, HCP SAR data have been employed in oil spill monitoring, target detection, sea ice monitoring, agriculture, wetland classification, and other land cover applications.

Highlights

  • Introduction and BackgroundThe RADARSAT Constellation Mission (RCM) is comprised of three satellites launched on June 12, 2019 into closely coordinated orbits [1]

  • RCM is a continuation of the RADARSAT-2 mission and provides multiple operational polarization modes, all of which use the hybrid compact polarization (HCP) architecture, a major paradigm shift in Earth observation satellite synthetic aperture radar (SAR) sytems

  • Some users who are familiar with fully polarimetric (FP) SAR data processing chains transform the HCP native 2 × 2 covariance matrix into a 3 × 3 pseudo-covariance matrix

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Summary

Introduction and Background

The RADARSAT Constellation Mission (RCM) is comprised of three satellites launched on June 12, 2019 into closely coordinated orbits [1]. RCM is a continuation of the RADARSAT-2 mission and provides multiple operational polarization modes, all of which use the HCP architecture, a major paradigm shift in Earth observation satellite SAR sytems. RCM is the first Earth-observing satellite-based SAR to use circular polarization waves for transmission in its operational polarimetric modes. It enables space-based polarimetrically classified SAR imagery for which their quality for information extraction is equivalent to that of traditional FP imaging radars, while maintaining the relative simplicity, coverage, and routine availability of a dual-polarized (DP) system. Doubling the transmission pulse rate means that the imaged swath can be no larger than half of the nominal width of a standard side-looking mode This inherent limitation is a major reason inhibiting conventional FP SAR modes from adoption by operational users [27,28].

HCP SAR and RCM
Analyses to be Avoided for HCP SAR Data
RH and RV Methods
Recommended Methodologies for HCP Data Analyses
Stokes Vector and Stokes Child Parameters
HCP SAR Decomposition
HCP SAR Image Classification
Findings
Conclusions

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