isprs archives XLII 4 W4 407 2017
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In this study the proposed model is not sensitive to the locking rate so we can't expect big earthquakes in West of Makran or a low seismicity activity in there but the
Therefore, this study examines the performance of the Random Forest feature selection (RFFS) method in combination with multiple- linear regression (MLR) and artificial
So the proposed model in this paper, employed simplicity and flexibility of AHP and used the fuzzy linguistic preference relation AHP model to model the uncertainties and
The outcome was a fuzzy one dimensional image, which was also computed for the remained 28years, the classification was done in both specified urban and
To calculate effective optical depth the Tor Vergata model is used which take in to account multiple-scattering contributions in the vegetation layer .Using the
Table 2 illustrate the interpretation of the interpolation surfaces using the seven techniques mentioned. Here, these techniques were mapped using optimal parameters.
Then, the original and produced data are evaluated in different ways to test the suitable spatial resolution of the airborne TIR in order to retain maximum SNR
The results of simulated dataset showed that k-means clustering in the case of 2-norm normalization and SBM (trimming) methods led to the best and worst results,
