Accurate Road Detection from Satellite Images Using Modified U-net

Published: Oct 1, 2018
Abstract
In this paper, we present an accurate neural network algorithm to detect roads in satellite images. Based on convolutional neural networks, from a 6-channel image, this model is able to transfer the road structure to the output using both the U-net and the atrous convolution architecture. To train this model, we introduce a new combination of existing loss functions including the binary cross-entropy and the Jaccard distance to avoid false...
Paper Details
Title
Accurate Road Detection from Satellite Images Using Modified U-net
Published Date
Oct 1, 2018
Journal
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