NDLI: FuNet: A Novel Road Extraction Network with Fusion of Location Data and Remote Sensing Imagery

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FuNet: A Novel Road Extraction Network with Fusion of Location Data and Remote Sensing Imagery

Content Provider	MDPI
Author	Zhou, Kai Xie, Yan Gao, Zhan Miao, Fang Zhang, Lei
Copyright Year	2021
Description	Road semantic segmentation is unique and difficult. Road extraction from remote sensing imagery often produce fragmented road segments leading to road network disconnection due to the occlusion of trees, buildings, shadows, cloud, etc. In this paper, we propose a novel fusion network (FuNet) with fusion of remote sensing imagery and location data, which plays an important role of location data in road connectivity reasoning. A universal iteration reinforcement (IteR) module is embedded into FuNet to enhance the ability of network learning. We designed the IteR formula to repeatedly integrate original information and prediction information and designed the reinforcement loss function to control the accuracy of road prediction output. Another contribution of this paper is the use of histogram equalization data pre-processing to enhance image contrast and improve the accuracy by nearly 1%. We take the excellent D-LinkNet as the backbone network, designing experiments based on the open dataset. The experiment result shows that our method improves over the compared advanced road extraction methods, which not only increases the accuracy of road extraction, but also improves the road topological connectivity.
Starting Page	39
e-ISSN	22209964
DOI	10.3390/ijgi10010039
Journal	ISPRS International Journal of Geo-Information
Issue Number	1
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-01-19
Access Restriction	Open
Subject Keyword	ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Remote Sensing Road Extraction Road Connectivity Remote Sensing Image Location Data Data Augmentation Data Post-processing Deep Convolutional Neural Network
Content Type	Text
Resource Type	Article

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