Presents a method to obtain information about the presence of deciduous trees in images. Since a single measure, observation or model is unlikely to yield robust recognition of trees, we present an approach that combines color measures and estimates of the complexity, structure, roughness and directionality of the image based on entropy measures, grey-level co-occurrence matrices, Fourier transforms, multi-resolution Gabor filter sets, steerable filters and the fractal dimension. A standard backpropagation neural network is used to arbitrate between the different measures and to find a set of robust and mutually consistent “tree experts”


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    Title :

    Locating deciduous trees


    Contributors:


    Publication date :

    1997-01-01


    Size :

    1263875 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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