A New Method for Correcting ScanSAR Scalloping Using Forests and Inter-SCAN Banding Employing Dynamic Filtering

The Scanning Synthetic Aperture Radar (ScanSAR) is very useful for Earth observation because of its wider imaging swath and shorter revisit time. However, ScanSAR is sometimes affected by the following three artifacts: (1) scalloping, which often appears as repeating weak azimuth stripes at both edges of the focused burst image; (2) azimuth ambiguity (i.e., a form of ghosting that appears over the adjacent uniform area when the pulse repetition frequency is below the Doppler bandwidth); and (3) radiometric discontinuity (i.e., banding) between two adjacent scans. This paper proposes three methods to correct these artifacts, which are, specifically, the proposal for scalloping correction using Amazon Rainforest data, band limitation, and the correction for the inter SCAN banding using the dynamic gain correction algorithm. Several corrected sample data sets of the Phased-Array L-band SAR onboard the Advanced Land-Observing Satellite are presented to demonstrate the validity of the proposed methods.

[1]  Masanobu Shimada,et al.  JERS-1 SAR mosaics of Southeast Asia using calibrated path images , 2002 .

[2]  Betlem Rosich,et al.  ENVISAT ASAR Product Calibration and Product Quality Status , 2004 .

[3]  Masanobu Shimada Radiometric correction of saturated SAR data , 1999, IEEE Trans. Geosci. Remote. Sens..

[4]  Riccardo Lanari,et al.  Chirp z-transform based SPECAN approach for phase-preserving ScanSAR image generation , 1998 .

[5]  George S. Davidson,et al.  Roll Angle Measurement and Compensation Strategy for RADARSAT ScanSAR , 2000 .

[6]  P. Vachon,et al.  MODELLING SAR SCALLOPING IN BURST MODE PRODUCTS FROM RADARSAT-1 AND ENVISAT , 2003 .

[7]  Masanobu Shimada,et al.  Long-term stability of L-band normalized radar cross section of Amazon rainforest using the JERS-1 SAR , 2005 .

[8]  Michael Y. Jin Optimal range and Doppler centroid estimation for a ScanSAR system , 1996, IEEE Trans. Geosci. Remote. Sens..

[9]  John C. Curlander,et al.  Synthetic Aperture Radar: Systems and Signal Processing , 1991 .

[10]  Masanobu Shimada,et al.  PALSAR Radiometric and Geometric Calibration , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[11]  K. Leung,et al.  RADARSAT processing system at ASF , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[12]  Masanobu Shimada,et al.  Calibration and validation of palsar (II) use of polarimetric active radar calibrator and the Amazon rainforest data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[13]  Richard Bamler Optimum look weighting for burst-mode and ScanSAR processing , 1995, IEEE Trans. Geosci. Remote. Sens..

[14]  Masanobu Shimada,et al.  A technique for measurement of spaceborne SAR antenna patterns using distributed targets , 1995, IEEE Trans. Geosci. Remote. Sens..

[15]  T. I. Lukowski,et al.  RADARSAT-1 image quality and calibration — a continuing success , 2001 .

[16]  Catherine M. Vigneron Radiometric image quality improvement of scansar data , 1996 .

[17]  R. K. Hawkins,et al.  Exploring the Elevation Beam Overlap Region in RADARSAT-1 ScanSAR , 2001 .

[18]  Anthony Freeman,et al.  Radiometric correction and calibration of SAR images , 1989 .

[19]  Ian G. Cumming,et al.  RADARSAT ScanSAR roll angle estimation , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[20]  N. Hamano,et al.  Digital processing of synthetic aperture radar data , 1984 .

[21]  Masanobu Shimada,et al.  Advanced Land Observing Satellite (ALOS) and Monitoring Global Environmental Change , 2010, Proceedings of the IEEE.