2.5 The Roll Estimation Problem in InSAR
2.5.2 Gently Undulating Topography
The next example is of slightly more complicated topography quite close to the same airfield, with a central area consisting of a mixture of ploughed (light areas) and unploughed fields, with some interesting topographic features at the sides, particularly the wooded area at the right-hand side (Fig. 2.34). It can be deduced from the interferogram (Fig. 2.35) that the fields have no more than gentle variations in terrain slopes, but these are unknown.
F i g . 2 . 3 4 : SAR image of gently undulating topography. Aircraft height
=1100m, slant range 1708-1544m, resolution = 2.1 m in range, 1 m in azimuth. The aircraft track follows the top of the image, from left to right.
By visual inspection of the interferogram, the characteristic near-range to far-range repetitive pattern of roll induced phase errors seems to be apparent, and small features with height are easily picked out, especially in the final unwrapped phase image (Fig. 2.37). However, due to the unknown topography, it is difficult even by eye to separate the ripples in the fringe lines due to aircraft-roll from those generated by the gently rolling English countryside.
Fig.2.35: interferogram corresponding to SAR image of Fig.2.34.
Consider the following examples: looking at the wooded area in the mid-right hand side of the SAR image, this has some of the repetitive features of aircraft roll, but is easily identifiable as a real topographic feature as it does not extend right across the image. Besides, it can also be identified from contextual information in the SAR image, and the feature is also surrounded by a discontinuity, particularly visible in the flat ground compensated interferogram shown in Fig. 2.36, rather than having the continuously variable phase consistent with aircraft roll.
However, if it were a longer feature, devoid of discontinuities or other contextual information in the SAR image, such as for instance the fields in the central portion of the image which may possibly be gently undulating and sloping, it would not be possible to unambiguously deconvolve the real topography from the artefacts of aircraft roll without a- priori knowledge - any attempt to do so, such as suggested in [39], runs the risk of flattening any real topographic variations happening to have the same characteristics as aircraft roll, leaving behind residual variations of smaller spatial extent. This is particularly apparent by looking at the phase banding in the unwrapped phase image of Fig. 2.37. Should the central banding be attributed solely to aircraft roll, undulating topography, or a combination of both? There is no information in the processed interferogram to resolve this dilemma.
Fig.2.37: Unwrapped phase of interferogram after flat ground phase removal.
The solution to the data-driven roll compensation problem lies not in the interferogram, but in the SAR imaging process used to generate the high resolution images for interferometry, which up to this point has been avoided for clarity, but has interesting properties in the presence of motion errors.
2.6 References
[1] Goldstein, R.M., Zebker, H.A. and Werner, C.L., “Satellite radar interferometry: Two- dimensional phase unwrapping”, Radio Sci., Vol. 23, No. 4, pp. 713-720, July-Aug. 1988.
[2] Hecht, E., “Optics”, 3rd
[3] Ghiglia, D.C. and Romero, L.A., “Direct phase estimation from phase differences using fast elliptic partial differential equations”, Optics Letters, Vol. 14, No. 20, pp. 1107-1109, Oct. 15, 1989.
[4] Lin, Q. and Vesecky, J.F., “Topography estimation with interferometric synthetic aperture radar using fringe detection”, IEEE, Proc. IGARSS ‘91, Conf. Code 16371, Vol. 4, pp. 2173-2176, Espoo, Finland, June 1991.
[5] Lin, Q., Vesecky, J.F. and Zebker, H.A., “New Approaches in Interferometric SAR Data Processing”, IEEE Trans. Geosci. and Remote Sensing, Vol. 30, No. 3, pp. 560-567, May 1992.
[6] Pritt, M.D. and Shipman, J.S., “Least-Squares Two-dimensional Phase Unwrapping Using FFT’s”, IEEE Trans. Geosci. and Remote Sensing, Vol. 32, No. 3, pp. 706- 708, May 1994.
[7] Ghiglia, D.C. and Romero, L.A., “Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transform and iterative methods”, J. Optical Society of America A, Vol. 11, pp. 107-117, 1994.
[8] Rosen, P.A., Hensley, S., Joughin, I.R., Li, F.K., Madsen, S.N., Rodriguez, E. and Goldstein, R.M., “Synthetic Aperture Radar Interferometry”, Proc. IEEE, Vol. 88, No. 3, pp. 333-382, March 2000.
[9] Schmitt, K. and Wiesbeck, W, “An interferometric SAR processor avoiding phase ambiguities”, IEEE, Proc. IGARSS '97, Conf. Code 47149, Vol. 4 pp. 1713 –1715, Singapore, Aug. 1997.
[10] Lombardini, F., “Absolute phase retrieval in a three-element synthetic aperture radar interferometer”, IEE, Proc. CIE Radar '96, Beijing, pp. 309 –312, Oct 1996.
[11] Homer, J., Longstaff, I.D. and Zhishu S. “Improved digital elevation models via multi-baseline interferometric SAR”, IEEE, Proc. IGARSS '97, Conf. Code 47149, Vol.4 pp. 1579 –1581, Singapore, Aug. 1997.
[12] Thomson, D.G., Robertson A.E., Arnold, D.V. and Long, D.G., “Multi-Baseline Interferometric SAR for Iterative Height Estimation”, IEEE, Proc. IGARSS '99, Conf. Code 56155, Vol. 1, pp. 251-253, Hamburg, June-July1999.
[13] Fornaro, G. and Sanosti, E. “A Two-Dimensional Region Growing Least Squares Phase Unwrapping Algorithm for Interferometric SAR Processing”, IEEE Trans. Geosci. and Remote Sensing, Vol. 37, No. 5, pp. 2215-2226, Sep. 1999.
[14] Graham L. C., “Synthetic Interferometer Radar for Topographic Mapping”, Proc. IEEE, Vol. 62, No. 6, pp. 763-768, June 1974.
[15] Zebker H. A., and Goldstein R. M., “Topographic Mapping From Interferometric Synthetic Aperture Radar Observations”, J. Geophysical Research, Vol. 91, No. B5, pp. 4993-4999, April 10, 1986.
[16] Dall, J., Grinder-Pederson, J. and Madsen, S.N., “Calibration of a High Resolution Airborne 3-D SAR”, IEEE, Proc. IGARSS '97, Conf. Code 47149, Vol. 2, pp. 1018- 1021, Singapore, Aug. 1997.
[17] Li, F.K. and Goldstein, R.M., “Studies of Multibaseline Spaceborne Interferometric Synthetic Aperture Radars”, IEEE Trans. Geosci. Remote Sensing, Vol. 28, No. 1, pp. 88-97, Jan 1990.
[18] Madsen, S.N., Skou, N., Woelders, K. and Granholm, J. “EMISAR single pass topographic SAR interferometer modes”, IEEE, Proc. IGARSS '96, Conf. Code 45281, Vol. 1, pp. 674-676, Lincoln, NE, USA, Aug. 1996.
[19] Rodriguez, E. and Martin, J.M., “Theory and design of interferometric synthetic aperture radars”, IEE Proc. F, Vol. 139, No. 2, pp. 147-159, Apr. 1992.
[20] Seymour, M.S. and Cumming, I.G., “Maximum likelihood estimation for SAR interferometry”, IEEE, Proc. IGARSS '94, Conf. Code 42381, Vol. 4, pp. 2272- 2275, Pasadena, CA, USA, Aug. 1994.
[21] McDonough, R.N. and Whalen, A.D., “Detection of Signals in Noise”, 2nd Ed., pp. 398-404, Academic Press, ISBN 0-12-744852-7, 1995.
[22] Bamler, R. and Just, D., “Phase Statistics and Decorrelation in SAR Interferograms”, IEEE, Proc. IGARSS '93, Conf. Code 19681, Vol. 3, pp. 980-984, Tokyo, Aug. 1993.
[23] Zebker, H.A. and Villasenor, J., “Decorrelation in Interferometric Radar Echoes”, IEEE Trans. Geosci. Remote Sensing, Vol. 30, No. 5, pp. 950-959, Sep 1992.
[24] Prati, C. and Rocca, F., “Use of Spectral Shift In SAR Interferometry”, Proc. 2nd ERS-1 Symposium - Space at the Service of our Environment, Hamburg, Germany, Oct 1993, Doc. No. ESA SP-361, pp. 691-696, Jan 1994.
[25] Prati, C., Rocca, F., “Improving Slant-Range Resolution With Multiple SAR Surveys”, IEEE Trans. AES, Vol. 29, No.1, Jan 1993.
[26] Gatelli, F., Guamieri, A.M., Parizzi, F., Pasquali, P., Prati, C. and Rocca, F., “The wavenumber shift in SAR interferometry”, IEEE Trans. Geosci. and Remote Sensing, Vol. 32, No. 4, pp. 855-865, July 1994.
[27] Milne, K., private communication, Aug. 1998.
[28] Born, M. and Wolf, E., “Principles of Optics”, Pergamon Press Ltd., Oxford, Sixth Ed. (with corrections), 1983, ISBN 0 08 026481 6.
[29] SNU 84-1 Revision D, “Specification for standard form, fit and function (F3) medium accuracy inertial navigation unit”, USAF, 1994.
[30] Hensley, S., Chapin, E., Freedman, A., Le C., Madsen, S., Michel, T., Rodriguez, E., Siqueira, P. and Wheeler, K., “First P-Band Results Using The GeoSAR Mapping System”, IEEE, Proc. IGARSS '01, Conf. Code 59067, Vol.1, pp. 126-128, Sydney, July 2001.
[31] Wheeler, K. and Hensley, S. “The GeoSAR Airborne Mapping System”, Proc. IEEE 2000 International Radar Conf., Conf. Code 57165, pp.831-835, Alexandria, VA, USA, May 2000.
[32] Rodriguez, E., Imel, D.A., and Madsen, S.N., “The Accuracy of Airborne Interferometric SAR’s”, IEEE Trans. AES, submitted for publication.
[33] Skolnik, M.L. (Ed.), “Radar Handbook”, Ch. 2, pp. 2.45-2.60, Ch. 4, McGraw-Hill, 1970, ISBN 07-057908-3.
[34] Barbour, N. Schmidt, G., “Inertial Sensor Technology Trends”, IEEE Sensors Journal, Vol. 1, No. 4, pp. 332-339, Dec. 2001.
[35] Mallorqui, J.J., Bara, M. and Broquetas, A., “Sensitivity Equations and Calibration Requirements on Airborne Interferometry”, IEEE Proc. IGARSS 2000, Conf. Code 57640, Vol. 6, pp. 2739 -2741, Honolulu, 2000.
[36] Prati, C., Rocca, F., Guarnieri, A.M., and Damonti, E., “Seismic Migration For SAR Focusing: Interferometrical Applications”, IEEE Trans. Geosci. Remote Sensing, Vol. 28, No. 4, pp. 627-640, July 1990.
[37] Cumming, I.G. and Seymour, M.S. “An Iterative Algorithm for ERS Baseline Estimation”, ESA, Fringe ’96 workshop, Remote Sensing Laboratories, Univ. of Zurich, October 1996.
(available online at www.geo.unizh.ch/rsl/fringe96/papers/seymour-cumming/).
[38] Sarabandi, K., Brown, C.G., Pierce, L. and Zahn, D. “Calibration of the Shuttle Radar Topography Mission using point and distributed targets”, IEEE Proc. IGARSS 2000, Conf. Code 57640, Vol. 6, pp. 2718 -2720, Honolulu, 2000.
[39] Vinelli, F., Dente, F., Bertoni, R., Pangrazi, R. and Farina, A., “Estimation of Scene Altitude Profile and Motion Errors In Synthetic Aperture Radar Interferometry”, IEEE, Proc. IGARSS ‘91, Conf. Code 16371, Vol. 1, pp. 253-256, Espoo, Finland, June 1991.
[40] Madsen, S.N., Zebker, H.A. and Martin, J., “Topographic Mapping Using Radar Interferometry: Processing Techniques”, IEEE Trans. Geosci. Remote Sensing, Vol. 31, No. 1, pp. 246-255, Jan 1993.