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They have been derived in many ways, the choices being guided by data availability, spatial scale, choice of data merging techniques, biogeography, and perceptions about the importance of particular variables in shaping biological distributions [e.g. 2], [13], [18], [19].
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In this article, we presented a novel multi-sensor data merging technique based on a generalized stacked neural network strategy.
Another class of merging techniques proceeds in a supervised way.
The basic criteria for merging small size files here is the "dynamic merging techniques" with respect to the type of file instead of a generalized merging strategy.
The SRM algorithm is based on region growing and merging techniques with statistical tests to determine the merging of regions.
To address this problem, stream merging techniques utilize the multicast facility to increase resource sharing.
MCF-P performs significantly better than all other scheduling policies when stream merging techniques are used.
A novel merging technique is designed, which retains the multi-spectral response of the input data in the output data.
In the second stage, we propose the region merging technique which combines the coarse merging and fine merging algorithms.
ERMT is a near optimal hierarchical stream merging technique.
Figure 3 The description of data merging process.
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