International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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Volume-9,Issue-1  ( May, 2021 )
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Jul. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 17
Paper Published : 198
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  Journal Paper


Paper Title :
An Approach for Road Network Detection From Satellite Images using Neural Networks

Author :Idris Kahraman

Article Citation :Idris Kahraman , (2017 ) " An Approach for Road Network Detection From Satellite Images using Neural Networks " , International Journal of Soft Computing And Artificial Intelligence (IJSCAI) , pp. 15-18, Volume-5,Issue-1

Abstract : Humans can identifycityobjectseasilyin remotesensing images, but this has turned out to be a problem forcomputers.In this paper, we propose an approach for road detection as objectdetection model based on neural networks from satellite images. The model is based on Multilayer Perceptron (MLP) which is one of the most preferred artificial neural network architecture in classification and prediction problems. According the neural network, the RGB values and measures of central tendency are used for deciding the pixel belongs to road or not. The output image generated with results. Index Terms—Object Detection, Road Extraction, Neural Networks

Type : Research paper

Published : Volume-5,Issue-1


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