IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring", Hyderabad, India,2002
(c)
Fig 4. CBB results with proposed method. The left and right
sides represent images after the stages of SL-1 and SL-2.
Table 4. Summary of image browsing.
Test No. of % of Perfor
obj. Patches after Object detection | mance
Acc.
SL-1 | SL-2 | Correc | False (a-f)/a
stage | stage ta f (in %)
AC-1 23 4 100 13.04 | 86.96
Stadm 11 1 100 0 100
AC-2 20 2 89 11 87.64
4. CONCLUSIONS
The histogram based search scheme followed by evaluation of
the Gabor feature vectors is proposed for browsing the high-
spatial resolution imagery. The suggested combined algorithm
is quite fast and tested for its tolerance against rotation, noise,
location and scale variations. It is found that the tolerance is
rather limited for the scale difference between the query and
test objects. The proposed algorithm was also applied to the
high resolution satellite imagery for typical objects and found
to yield quite satisfactory results. The application of this
method will be extended to multi-spectral high resolution
imagery and reported elsewhere.
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