IEEE JOURNAL OF OCEANIC ENGINEERING, VOL. 32, NO. 4, OCTOBER 2007 971
Relative Height Estimation by Cross-Correlating
Ground-Range Synthetic Aperture Sonar Images
Torstein Olsmo Sæbø, Member, IEEE, Roy Edgar Hansen, Member, IEEE, and Alfred Hanssen, Senior Member, IEEE
Abstract—The relative height of the seafloor can be estimated
by using two vertically displaced receivers. In this paper, we pro-
pose techniques to improve the accuracy of the estimated height.
Our results are based on the use of synthetic aperture sonar (SAS)
imaging, which implies coherent addition of complex images ac-
quired from a moving platform. The SAS processing improves the
along-track (or azimuth) resolution, as well as the signal-to-noise
ratio (SNR), which in turn improves the estimated height accuracy.
We show that the shift of the effective center frequency induced
by coherent, frequency-dependent scattering affect the time-delay
estimates from complex cross correlations, and we propose a cor-
rection technique for broadband signals with uneven magnitude
spectra. To reduce the effect of geometrical decorrelation and in-
crease the coherence between the images, we beamform the sonar
images onto an a priori estimate of the seafloor height before cor-
relating. We develop a mathematical model for the imaging ge-
ometry. Finally, we demonstrate our proposed estimators by pro-
viding relative seafloor height estimates from real aperture and
SAS images, obtained during the InSAS-2000 experiment at Elba
Island in Italy. In particular, we demonstrate that the SAS image
quality is significantly improved by inclusion of the height esti-
mates as a priori information.
Index Terms—Bathymetry, coherence, cross correlation, height
estimation, interferometry, synthetic aperture sonar (SAS), time-
delay estimation.
I. INTRODUCTION
D
ETAILED seabed mapping plays an important role in a
number of different areas such as offshore exploration,
marine research, environmental surveillance, and military
applications. Typically, multibeam echo sounders (MBE), or
alternatively, bathymetric sidescan sonar systems are applied
[1, pp. 266–267], [2]. Both technologies are limited by the
along-track (azimuth) resolution, given by the physical trans-
ducer array size. Synthetic aperture sonar (SAS) has emerged
as an attractive technique to improve along-track resolution [3].
While synthetic aperture radar (SAR) interferometry has grown
to a mature high-resolution terrain mapping tool [4], [5], the
corresponding underwater technology, interferometric SAS [6],
[7], has yet to be explored to its full potential.
Manuscript received March 30, 2006; revised October 10, 2006 and February
28, 2007; accepted March 2, 2007. The work of A. Hanssen was supported by
the Research Council of Norway under Project 162831.
Associate Editor: A. Trucco.
T. O. Sæbø is with the Norwegian Defence Research Establishment (FFI),
Kjeller NO-2027, Norway and the University of Tromsø, Tromsø NO-9037,
Norway (e-mail: torstein-olsmo.sabo@ffi.no).
R. E. Hansen is with the Norwegian Defence Research Establishment (FFI),
Kjeller NO-2027, Norway (e-mail: roy-edgar.hansen@ffi.no).
A. Hanssen is with the Department of Physics and Technology, University of
Tromsø, Tromsø NO-9037, Norway (e-mail: alfred.hanssen@phys.uit.no).
Digital Object Identifier 10.1109/JOE.2007.895244
The standard height-estimation technique based on SAR
interferometry consists of utilizing the phase differences in
complex images collected from different aspect angles [8].
This technique, often referred to as direct phase-differencing or
interferometry, requires a strict coregistration of the images. In
addition, phase ambiguities have to be resolved [9], [10]. To
ease these problems, one can use cross correlations on range
subswaths. Although this leads to a lowpass filtering of the
estimated height, the accuracy can be retained by using the
phase of the correlation function [11], [12].
In November 2000, a series of trials named InSAS-2000
were conducted at Elba Island in Island with the NATO Un-
dersea Research Centre (NURC, La Spezia, Italy, formerly
SACLANTCEN), Qinetiq (Hampshire, U.K., formerly DERA),
and Norwegian Defence Research Establishment (FFI, Kjeller,
Norway) as participants [13]. The basis of the experiment was
to perform controlled motion of an interferometric SAS with a
high-grade inertial navigation system (INS). The experimental
data we apply in this paper are from the InSAS-2000 experi-
ment.
Cross-correlation-based methods on data collected from a
3-D geometry are often limited by geometrical decorrelation
[8, p. 102]. In slant range, this causes a spectral shift, which
can be reduced by using only the overlapping part of the two
spectra [14]. The disadvantage with this filtering is that it
reduces the resolution of the interferometric images. To reduce
the geometrical decorrelation and simultaneously retain the full
resolution, we propose to beamform images in ground range
(or near-ground range) instead of in the slant-range plane [5,
pp. 369–371]. Monte Carlo simulations of synthetic SAS data
show an increase of the correlation in ground-range images,
compared to that of slant-range images. We have developed
a new description of the imaging geometry for ground-range
imaging, which is more suitable for sonars with an offset
transmitter like the InSAS-2000 sonar.
A limiting factor in complex-correlation-based delay estima-
tion is an uncompensated shift of the effective center frequency
of the data. This shift is due to uneven weighting of the received
frequency components, and it degrades the delay estimate for
high signal-to-noise ratios (SNRs). In this paper, we propose a
new technique to reduce this effect. As shown, our technique
successfully removes the degradation of the time-delay estima-
tion accuracy for SNR up to 60 dB.
We have implemented and tested our method on previously
unpublished data from the InSAS-2000 experiment. Height
maps estimated from real and synthetic aperture data are
derived and compared, and we demonstrate that man-made
objects with submeter heights can readily be discerned in the
synthetic aperture height maps. Several different objective
image quality metrics are introduced and applied to the SAS
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