The Range-Doppler algorithm has long been a popular method for the digital processing of SAR data from spaceborne platforms. The success of this algorithm is due in part to its conceptual simplicity, and in part to a number of approximations which reduce the computational complexity of the method. However, the widespread use of these same approximations has given the Range-Doppler algorithm the (mostly undeserved) reputation of producing inferior image quality, especially with regard to phase. In recent years, the Chirp-Scaling algorithm has been proposed as an alternative to Range-Doppler. The Chirp-Scaling algorithm avoids the complicated and computationally expensive interpolations used by the Range-Doppler algorithm and is more naturally phase preserving. RADARSAT (single beam) data, in view of its moderate squint and multiple PRF Doppler Centroid excursion across an image, is a good test case for both algorithms. Atlantis, with the support of the Canada Centre for Remote Sensing, has developed a desk top software processor which implements both the Range-Doppler and Chirp-Scaling algorithms. In this paper, a comparison is made between the performance of the two algorithms with reference to the RADARSAT sensor. As well, issues of implementation and computational complexity are discussed.
[1]
R. Bamler,et al.
A Novel High Precision SAR Focussing Algorithm Based On Chirp Scaling
,
1992,
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.
[2]
F. Wong,et al.
A SAR Processing Algorithm With No Interpolation
,
1992,
[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium.
[3]
R. Keith Raney,et al.
Precision SAR processing using chirp scaling
,
1994,
IEEE Trans. Geosci. Remote. Sens..
[4]
Michael Y. Jin,et al.
A SAR correlation algorithm which accommodates large-range migration
,
1984,
IEEE Transactions on Geoscience and Remote Sensing.
[5]
Richard Bamler,et al.
A comparison of range-Doppler and wavenumber domain SAR focusing algorithms
,
1992,
IEEE Trans. Geosci. Remote. Sens..
[6]
Alberto Moreira,et al.
Airborne SAR processing of highly squinted data using a chirp scaling approach with integrated motion compensation
,
1994,
IEEE Trans. Geosci. Remote. Sens..