Interferometry With ENVISAT Wide Swath ScanSAR Data
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 3, JULY 2006 377
Interferometry With ENVISAT WideSwath ScanSAR Data
AbstractThe possibility to get efficient topographic mappingand monitoring of large-scale motions with ScanSAR interferom-etry has been demonstrated with the Shuttle Radar TopographyMission and RADARSAT mission. The Environmental SatelliteAdvanced Synthetic Aperture Radar (ASAR) sensor has beendesigned to provide enhanced capabilities for interferometricapplications. Different types of interferometric products can beobtained by combining the various ASAR modes as stripmapsynthetic aperture radar [image mode (IM)] and ScanSAR [wideswath (WS) mode]. This letter deals with the possibility to useWS data to get either mixed-mode (IM/WS) or ScanSAR mode(WS/WS) differential interferograms. The impact of digital ele-vation model localization errors on IM/WS interferograms andof scan pattern synchronization on WS/WS interferograms isinvestigated. Experimental results are encouraging and show thatASAR ScanSAR data can be routinely used for interferometricapplications in both cases.
Index TermsInterferometry, scanning antennas, syntheticaperture radar (SAR).
S canSAR mode achieves a large swath coverage by peri-odically switching the antenna pointing. This allows toimage a large swath at the expense of azimuth resolution. Theincreased range swath can produce large-area interferometricimages and a more frequent coverage for differential applica-tions, like surface deformation measurement, change detection,and monitoring of natural hazards .
The Environmental Satellite (ENVISAT) Advanced Syn-thetic Aperture Radar (ASAR) wide swath (WS) complexproduct recently released by the European Space Agency (ESA)makes the exploitation of ScanSAR data for interferometricapplications more attractive.
ScanSAR interferometry depends heavily on the availabil-ity of precise timing and localization of the sensor. DopplerOrbitography and Radiopositioning Integrated by Satellite(DORIS)-derived orbits and ENVISAT onboard clock guaran-tee  a root-mean-square (rms) positioning error of 1 m alongtrack and 0.5 m cross track, adequate to obtain interferogramswithout the need to refine image registration. Experimentalresults confirm such expectations.
Interferometric applications using WS data are the object ofthis letter. Section II briefly revises the properties of ScanSARsystems. Section III shows that good differential mixed-modeinterferograms can be achieved even in areas with significant
Manuscript received October 27, 2005; revised February 16, 2006.The author is with the Dipartimento di Elettrotecnica ed Elettronica, Politec-
nico di Bari, Bari 70125, Italy (e-mail: email@example.com).Digital Object Identifier 10.1109/LGRS.2006.873876
Fig. 1. Acquisition geometry and time-frequency spectral support ofScanSAR data. The slope of the spectrum is kR.
relief, but digital elevation model (DEM) localization errors arean issue. Section IV considers pure ScanSAR interferometryand how the need to guarantee a proper spectral overlap of thestereo pair requires the synchronization of the scanning patternsof the two acquisitions which, with WS data (five subswathsand three looks), is far from being assured. A simple methodto verify pattern synchronization for candidate stereo pairs isdescribed. Conclusions are in Section V.
II. PROPERTIES OF SCANSAR SYSTEM
ScanSAR acquisition geometry and spectral properties of thefocused data are well known , ; thus, just the basics arerecalled here.
A ScanSAR sensor is basically a SAR with a discontinuousdata acquisition. It acquires short bursts of time extent TD(dwell time) and cyclically changes the elevation pointingof the antenna, scanning all the subswaths (SS). The timethe antenna takes to complete the scanning pattern is calledcycle time TR and must be less than the time a scatterer stayswithin the antenna footprint TF to assure azimuth continuityof the imaged scene. The azimuth response of the acquisitionsystem is time variant; scatterers at different azimuth positionscontribute different segments of a same chirp with a Dopplerrate that depends on the acquisition geometry (see Fig. 1).
Focusing of ScanSAR data is basically a correlation of the re-ceived echoes with the azimuth Doppler history (just as for stripmode, see ); it performs an azimuth redistribution of theechoes along the antenna footprint, according to their spectralcontent, but leaves their spectral support unchanged. The time-frequency support of the processed data is a strip |kR|TDwide, which sweeps the whole Doppler bandwidth ( |kR|TF ,with kR as the Doppler rate).
1545-598X/$20.00 2006 IEEE
378 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 3, NO. 3, JULY 2006
III. MIXED-MODE INTERFEROMETRY
To get meaningful interferograms, the images in a stereo pairmust share a common spectral domain , , . If one ofthe images is derived from ScanSAR data, its spectral supportis as described above. The first proposed interferometric appli-cation  for ScanSAR data was in mixed-mode interferometrythat mixes ScanSAR and strip map (image mode for ENVISAT)data. This is because the image mode (IM) data have a spectralsupport that fills the whole azimuth bandwidth. If the stereo pairis geometrically paired, it is always possible to cut the ScanSARspectral support out of the full bandwidth spectrum of theIM data.
To cut a slice like that shown in Fig. 1 out of the fullspectral domain of IM data, IM data are multiplied by a com-plex exponential exp(kR(t to)2), low-pass filtered in aband kRTD/2 and remultiplied by another complex expo-nential exp(kR(t to)2). The first multiplication centers thespectral strip over the time axis, whereas the second one placesit back over the line with slope kR in the slow-time/Dopplerfrequency plane.
The geometric resolution of the resulting interferogram is,at most, equal to that of the coarser resolution image in thestereo pair (the ScanSAR one). Large-resolution cell meansmore decorrelation noise, which is due to the interfering phasesof returns from scatterers at different altitudes within the cell.Interferograms coming from coarse-resolution images are thenlimited to smooth or nearly flat surfaces .
However, the use of a DEM with a resolution comparablewith that of the full-resolution image (ASAR IM, 30 m inground range) can remove the average local slope of the in-terferogram , preventing further decorrelation noise fromarising. In this context, the DEM localization errors (simplerigid shifts are here taken into account) must compare with thefull-resolution cell size (30 m), which is much smaller than theScanSAR resolution cell azimuth size.
Let I1 = A1 exp(1) and I2 = A2 exp(2) be the first andsecond complex images in the stereo pair, after registrationand common band filtering. The phase of each image canbe decomposed into two terms: 1) the topographic phase de-ducible from the DEM i and 2) the residual i: i = i +i (i = 1, 2). The differential interferogram results from thecombination of the images after subtraction of the DEM-derived topographic phase. Let suppose that the DEM is mis-located and let Si be the corresponding topographic phase.
Coherence is used as a measure of the final quality of theinterferogram
|| =E [I1I2e(S1S2)
]E [|I1|2] E [|I2|2]
After some manipulations and assuming statistical indepen-dence between the residual interferogram and the DEM topo-graphic phase
|| =E [A1A2e
]E [A21] E [A22]
E[eeS ] (2)
TABLE IASAR IM/WS DATASET PARAMETERS
where = 1 2 is the residual interferometric phase af-ter optimal removal of the DEM topographic phase, =1 2 represents the DEM topographic phase, and S =S1 S2 is the phase from a mislocated DEM.
The result equals the one obtainable with a perfectly locatedDEM times a factor 1, which is the cross correlation betweenthe topographic phases from a correctly located DEM and amislocated DEM, i.e.,
|displ| = |opt| E[eeS ] . (3)
Small DEM displacements approximately result in a similarlydisplaced phase, i.e.,
S(l,m) (l + l1,m+m1).
Therefore, the factor in (3) can be approximated with thetopographic phase autocorrelation. Obviously, mountainous re-gions will exhibit a narrower autocorrelation function than flatregions because topographic phase properties depend on thelocal terrain slope and roughness described by the DEM .
The area around the city of Las Vegas has been selectedbecause of its temporal stability and because of the availabilityof a high-resolution (1 arcsec, 30 m 30 m of groundsampling) Shuttle Radar Topography Mission (SRTM) DEM.Topographic phase has been generated using the DEM and,through geometrical considerations, from DORIS-derived or-bits and the time stamps of the ENVISAT data. Table I sum-marizes the parameters of the two missions. The amplitudeimage of the whole area is shown in Fig. 2. Three differentregions are marked: two on relatively flat areas (on a valleyand on the city) and the other one on mountains. The slantrange cuts of the topographic phase autocorrelation function,computed on these three different regions, are sketched inFig. 3. As expected, topographic phase autocorrelation functionis narrower on mountainous area, wider on smoother areas.
ASAR IM and ScanSAR WS complex images have beenused to generate interferograms, but when mixed with the topo-graphic phase to get the differential interferogram, the DEMhas been shifted with respect to the master image. The in-terferogram quality was assessed using coherence, as in (1).The most peaked coherence histogram has been consideredthe indicator of the best match. No procedure to correct theregistration of the two images i