Locating deciduous trees

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”