Titlebook: Neurocomputation in Remote Sensing Data Analysis; Proceedings of Conce Ioannis Kanellopoulos,Graeme G. Wilkinson (Head),J Conference procee

格言

Dynamic Segmentation of Satellite Images Using Pulsed Coupled Neural Networks,k using an Integrate and Fire model with dynamical synapses is examined to perform image segmentation based on synchronisation on the firing time-of neurons which are in the same region. To enhance synchronisation behaviour an avalanche-type dynamic is introduced. This dynamic allows us to perform s

heart-murmur

Non-Linear Diffusion as a Neuron-Like Paradigm for Low-Level Vision,k on preprocessed data and the preprocessing steps themselves have proved difficult to implement with NNs. Here a NN-like paradigm for low-level image processing is presented, that is based on the evolution of coupled, non-linear diffusion equations. The illustrations are focussed on feature preserv

分解

吵闹

978-3-642-63828-2Springer-Verlag Berlin · Heidelberg 1997

Visual-Field

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晚间

TATE

Comparison Between Systems of Image Interpretation,thods based on different mechanisms have been developed: rule-based system, neural networks and fuzzy classification. Our contributions are the adaptation of these methods to the concrete case of aerial images, and the quantitative comparison between the three types of methods.

HAUNT

Monolithic

Geological Mapping Using Multi-Sensor Data: A Comparison of Methods,cedure to derive texture features is proportional to the number of grey levels in the image (256 in the case of Landsat TM and SIR-C SAR). Reducing the number of grey levels to 64 by means of an equalising algorithm proved to have little effect upon performance.

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