Preliminary Science Results from the SIR-C/X SAR Mission
Quantitative results are to be provided (in the full paper) for two synthetic aperture radar (SAR) data missions from a space shuttle using the SIR-C/X-SAR in April and October 1994.
Engineering topics
Publications and source records attributed to Dubois, P..
Quantitative results are to be provided (in the full paper) for two synthetic aperture radar (SAR) data missions from a space shuttle using the SIR-C/X-SAR in April and October 1994.
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We consider the problem of finding a mathematically optimal algorithm to estimate soil parameters based on radar and/or other measurements.
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Given measurements m1, m2,....,mj representing radar cross-sections of a given resolution element at different polarizatons and/or different frequency bands, we consider the problem of making an.
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The paper describes the status of a comprehensive synthetic aperture radar (SAR) software package developed specifically to aid the calibration of a multifrequency and multipolarization radar like the Shuttle Imaging Radar, SIR-C. The primary data types processed are engineering telemetry, point targets (corner reflectors and polarimetric active radar calibrators), distributed targets (clutter), tone-generators, and ground receivers. The parameters derived to aid the calibration of the production processor include measurements of relative radiometric channel to channel imbalance, absolute calibration constants, antenna pattern corrections, noise levels, polarimetric cross-talk, and geometric offsets. The software reports standard performance measurements such as resolution, peak and integrated sidelobes, radiometric response accuracy, and geometrical distortions such as scale errors, position bias and standard deviation, and image skew. Furthermore, the inclusion of software to allow updates of the shuttle-state vector (position and velocity) is considered.
Algorithms developed to reduce number of radar polarimetric data processed to synthesize image of arbitrary combination of transmitting and receiving polarizations. Brings image-processing requirements within computing capabilities of typical users, without degrading images excessively. In scattering-matrix approach to reduction of image data, four adjacent picture elements combined into one by synthesizing new scattering matrix from scattering matrices of four elements. In phase-matrix approach, phase matrices generated from scattering matrices of four adjacent picture elements, and four phase matrices added to combine four picture elements into one.