Title :
Application of ANN´s to the classification of radar images
Author :
Elkhetali, Said I.
Author_Institution :
Higher Inst. of Electron., Bani Walid, Libya
Abstract :
Artificial neural networks (ANN´s) are used to classify simulated images of subterranean geologic features obtained by ground probing radar (GPR). The supervised backpropagation algorithm is used. The aim of classification is for aiding and speeding the process of interpretation and to overcome the lack of experts in the field. Results of this experiment show that this method of classification would be useful in the field.
Keywords :
backpropagation; feature extraction; ground penetrating radar; groundwater; image classification; neural nets; radar imaging; synthetic aperture radar; ANN; GPR; artificial neural networks; ground probing radar; groundwater; radar image classification; subterranean geologic feature; supervised backpropagation algorithm; Artificial neural networks; Computer vision; Focusing; Geology; Ground penetrating radar; Neurons; Radar applications; Radar detection; Radar imaging; Testing;
Conference_Titel :
Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. TELSIKS 2003. 6th International Conference on
Print_ISBN :
0-7803-7963-2
DOI :
10.1109/TELSKS.2003.1246326
