Refinement of Magellan Radiometric Correction Using Range Centroid Estimation

Cheng, T.; Jin, Michael Y.; Curlander, John C.

doi:10.1109/igarss.1992.578374

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“…An alternative approach to solve this problem is to derive the pointing angles from the SAR data by estimating the range and Doppler centroids. Available methods include clut terlock techniques [1,2,3] and multiple PRP techniques [4] to improve the azimuth pointing accuracy; and the range centroid tracking technique [5] to improve the elevation pointing accuracy.…”

Section: Introductionmentioning

confidence: 99%

Optimal range and Doppler centroid estimation for a ScanSAR system

Jin

1996

IEEE Trans. Geosci. Remote Sensing

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This paper presents a new range and Doppler centroid estimation algorithm for a ScanSAR system. Its accurate range and Doppler centroid estimates lead to refined radar pointing angles, which enables the ScanSAR imagery meeting its radiometric requirements. This algorithm attains an accuracy equal to the Cramer Rae's lower bound for both the homogeneous and quasi-homogeneous targets. This algorithm is also efficient in computation and easy for implementation.

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Section: Introductionmentioning

confidence: 99%

Optimal range and Doppler centroid estimation for a ScanSAR system

Jin

1996

IEEE Trans. Geosci. Remote Sensing

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show abstract

Refinement of Magellan Radiometric Correction Using Range Centroid Estimation

Cited by 1 publication

References 2 publications

Optimal range and Doppler centroid estimation for a ScanSAR system

Optimal range and Doppler centroid estimation for a ScanSAR system

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