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A Comparison of Radar Polarimetry Data of the Moon From the LRO Mini-RF Instrument and Earth-Based Systems
- Source :
- IEEE Transactions on Geoscience and Remote Sensing. 55:1915-1927
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- The Mini-RF radar, launched on the Lunar Reconnaissance Orbiter, imaged the lunar surface using hybrid-polarimetric, transmitting one circular polarization and receiving linear H and V polarizations. Earth-based radar operating at the same frequency has acquired data of the same terrains using circular-polarized transmit waves and sampling circular polarizations. For lunar targets where the viewing geometry is nearly the same, the polarimetry derived from Mini-RF and the earth-based data should be very similar. However, we have discovered that there is a considerable difference in circular polarization ratio (CPR) values between the two data sets. We investigate possible causes for this discrepancy, including cross-talk between channels, sampling, and the ellipticity of the Mini-RF transmit wave. We find that none of these can reproduce the observed CPR differences, though a nonlinear block adaptive quantization function used to compress the data will significantly distort some other polarimetry products. A comparison between earth-based data sets acquired using two different sampling modes (sampling received linear polarizations and sampling circular polarizations) suggests that the CPR differences may be partially due to sampling the data in a different receive polarimetry bases.
- Subjects :
- Physics
010504 meteorology & atmospheric sciences
business.industry
Polarimetry
01 natural sciences
Space-based radar
law.invention
Continuous-wave radar
Bistatic radar
Optics
Radar astronomy
law
Radar imaging
0103 physical sciences
General Earth and Planetary Sciences
Electrical and Electronic Engineering
Radar
business
010303 astronomy & astrophysics
Circular polarization
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 15580644 and 01962892
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Accession number :
- edsair.doi...........b587681dc62abb89c4302d2a3d15733f