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A relevance feedback method based on genetic programming for classification of remote sensing images

A relevance feedback method based on genetic programming for classification of remote sensing images,10.1016/j.ins.2010.02.003,J. A. dos Santos,Cristi

A relevance feedback method based on genetic programming for classification of remote sensing images   (Citations: 6)
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Published in 2011.
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    • ...We have recently proposed an interactive method for classification of remote sensing images based on Genetic Programming, GPSR [6]...
    • ...The GP individual configuration in the GOPF is the same as that used for GPSR method [6]...
    • ...tors: We used the same set of descriptors in [6]: BIC, Color Histograms, Color Moments, Gabor Wavelets, and Spline Wavelets...
    • ...Baseline: We compare our method against Maximum Likelihood Classification (MaxVer) [12] and GPSR [6]...
    • ...GOPF has presented good results with respect to the identification of pasture and coffee crops, overcoming the results obtained by GPSR [6] and the MaxVer algorithm...

    Jefersson Alex dos Santoset al. Interactive classification of remote sensing images by using optimum-p...

    • ...This paper uses the feature synthesis algorithm proposed in [19][20], described in the following...

    Zhenbang Huet al. Feature Synthesis Algorithm Combined with k-NN Classifier for Spectral...

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