I 
I 
I 
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Fig. 9 Computing DTM (FUGEN) 
CONCLUSION 
The accuracy of DTM derived from SAR interferometry 
using JERS-1 were made clear in this study. Even if the 
accuracy of the satellite positions and orientations, the 
length of baseline, the change of surface of the earth 
(corresponded with correlation coefficient ) and the 
algorithm of phase unwrapping gave influence to 
precision of the DTM generation, their quantitative 
relations couldn’t make clear in this time. 
In the future, some experience will be examine on the 
difference condition, as different length of base line, the 
different observation date, and so on. 
Finally, the factor obstructing promotion of studies on 
SAR interferometry recognized through this study are 
described. 
The most important factor is that whether ability to 
generate SAR interferogram isn’t understood till two 
SAR data are handled. The fact means it isn’t 
understood whether process of SAR interferometry is 
well before having purchased SAR data. 
display the length of baseline, incident angle and 
correlation coefficient at least as search items in the 
system. 
Finally, SAR data set consisted complex type are 
distributed is expected in order to study SAR 
interferometry. 
REFERENCE 
(1) NASDA : JERS-1 Science Program Application 
Data Sets, JERS-1/SAR Interferometry, CD-ROM 
Vol.l, 1995 
(2) Richard M. Goldstein, Howard A. Zebker, Charles 
L. Werner : Satellite radar interferometry : two- 
dimensional phase unwrapping. Radio Science, Vol. 23, 
No. 4, pp. 713-720, Jul.-Aug.,1988 
(3) J. M. Huntley, H. Saldner : Temporal phase 
unwrapping algorithm for automated interferogram 
analysis, APPLIED OPTICS, Vol. 32, No. 17, Jun., 
1993 
(4) Howard A. Zebker, Richard M. Goldstein 
Topographic Mapping From Interferometric Synthetic 
Aperture Radar Observations, Journal of 
GEOPHYSICAL RESEARCH, Vol. 91, NO. B5, pp. 
4993-4999,Apr., 1986 
(5) A. K. Gabriel, R. M. Goldstein, H. A. Zebker : 
Mapping small elevation changes over large areas: 
Differential radar interferometry, J. of Geophysical 
Research, Vol. 94, No. B7, pp. 9183-9191, 1989 
(6) Claudio Prati, Fabio Rocca, Andrea Monti 
Guarnieri, Elvio Damonti : Seismic Migration For SAR 
Focusing : Interferometrical Applications, IEEE Trans. 
GE, Vol. 28, No. 4, pp. 627-639,Jul.,1990 
(7) Howard A. Zebker, Soren N. Madsen, Jan Martin, 
Kevin B. Wheeler, Timothy Miller, Yunling 
Lou,Giovanni Alberti, Sergio Verella, Alessandro 
Cucci : The TOPSAR Interferometric Radar 
Topographic Mapping Instrument, IEEE Trans. GE, 
Vol. 30, No. 5 ,Sep.,1992 
Additionally, there is observation interval for more than 
44 days at least in the case of using JERS1 data. 
Naturally, the surface of the earth may be changed in 
the meantime. So the fact is indicated that it is difficult 
to process the interferometry SAR data by repeat pass 
observation. 
So, it is same situation about the length of baseline. The 
length of baseline could just calculate after having 
purchased SAR data. 
Therefore the catalogue search system is required for 
interferometry SAR data. It is advisable to be able to 
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