论文信息 - Constructing a neural network for the interpretation of the species of trees in aerial photographs

Constructing a neural network for the interpretation of the species of trees in aerial photographs

A neural network with a three-layer feedforward architecture was used to interpret the species of trees in aerial photographs. Weight-visualization (WV) diagrams were developed to interpret the weights and the behavior of the hidden units easily. Several networks that were trained on different parameter settings were combined to construct a better-performing network using the WV diagrams as a tool.<<ETX>>

Horst Bischof | Axel Pinz | H. Bischof | A. Pinz

[1] Terrence J. Sejnowski,et al. NETtalk: a parallel network that learns to read aloud , 1988 .

[2] Terrence J. Sejnowski,et al. Network model of shape-from-shading: neural function arises from both receptive and projective fields , 1988, Nature.

[3] T. Sejnowski,et al. Predicting the secondary structure of globular proteins using neural network models. , 1988, Journal of molecular biology.

[4] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .