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In this paper, we present a new unsupervised classification method based on a novel polarization feature, which reflects the proportion of co-polarization component and cross-polarization component of scatters in PolSAR image. We combine this novel polarization feature with backscattering power and scattering power entropy to perform the initial classification. Then apply a merge criterion to merge...
In order to verify the feasibility of NDVI time series data applied in land use classification at cloudy and rainy regions. In this paper, Malaysia was taken as an example, an appropriate land use classification of it was established, and Harmonic Analysis of Time Series (HANTS) algorithm was chosen to reconstruct the NDVI time series for Malaysia land classification. The results indicated that the...
Logistic regression algorithm and SVM algorithm are two well-known classification algorithms but when the multi-collinearity between independent variables occurs in above two algorithms, their classifying performance will always be not good. An improved classification algorithm combining the Choquet integral with respect to the lambda-measure based on gamma-support is proposed by our previous work...
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