Title :
On initialization of back propagation neural networks for land cover classification using satellite imageries
Author :
Barros, Maria Suelena Santiago ; Nowosad, Alexandre Guirland ; De Andrade Amorin, M.C.
Author_Institution :
Inst. Nacional de Pesquisas Espaciais, Sao Jose dos Campos, Brazil
Abstract :
The use of feedback in back propagation neural networks satellite imagery land cover classification is investigated. Two networks are used and the described method can be considered as a discrete-time stochastic evolutionary process. The input to the process is an imagery pair plus the set of all weights of the last step´s final configuration. The final answer would be a subset of weights corresponding to one of the networks
Keywords :
backpropagation; geophysical techniques; image recognition; neural nets; remote sensing; back propagation neural network; discrete-time stochastic evolutionary process; feedback; geophysical measurement technique; image classification; imagery pair; initialization; land cover; land surface imaging; landcover classification; neural net; remote sensing; satellite imagery; terrain mapping; vegetation; Computational modeling; Image converters; Neural networks; Neurofeedback; Neurons; Random sequences; Random variables; Satellites; Stochastic processes;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322193
