Results 11 to 20 of about 179,225 (256)
Road Extraction from High-Resolution Remote Sensing Images Based on EDRNet Model [PDF]
Jisuanji gongcheng, 2021 The existing methods for extracting the road parts from high-resolution remote sensing images are limited by the incomplete extraction results and poor boundary quality.To address the problem, a new method based on the EDRNet model is proposed for ...
HE Xiaohui, LI Daidong, LI Panle, HU Shaokai, CHEN Mingyang, TIAN Zhihui, ZHOU Guangsheng
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Remote Sensing, 2023 Road extraction is crucial in urban planning, rescue operations, and military applications. Compared to traditional methods, using deep learning for road extraction from remote sensing images has demonstrated unique advantages.
Xudong Wang +5 more
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Road Extraction With Satellite Images and Partial Road Maps
IEEE Transactions on Geoscience and Remote Sensing, 2023 This paper has been accepted by IEEE Transactions on Geoscience and Remote ...
Qianxiong Xu +3 more
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Review on Active and Passive Remote Sensing Techniques for Road Extraction
Remote Sensing, 2021 Digital maps of road networks are a vital part of digital cities and intelligent transportation. In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images ...
Jianxin Jia +12 more
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Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction
International Journal of Applied Earth Observations and Geoinformation, 2021 Road extraction from high-resolution remote sensing images (HRSIs) is essential for applications in various areas. Although deep convolutional neural networks (DCNNs) have exhibited remarkable success in road extraction, the performance relies on a large
Panle Li +11 more
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A BOUNDARY AWARE NEURAL NETWORK FOR ROAD EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Automatic road extraction from high-resolution remote sensing imagery has various applications like urban planning and automatic navigation. Existing methods for automatic road extraction however, focus on regional accuracy but not on the boundary ...
H. Sui, M. Zhou, M. Peng, N. Xiong
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Heliyon, 2023 Photoaging is the main form of external skin aging, and ultraviolet radiation is the main cause. Long-term ultraviolet radiation can cause oxidative stress, inflammation, immune responses, and skin cell apoptosis.
Liping Qu, Feifei Wang, Xiao Ma
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Remote Sensing, 2023 Advancements in data-acquisition technology have led to the increasing demand for high-precision road data for autonomous driving. Specifically, road boundaries and linear road markings, like edge and lane markings, provide fundamental guidance for ...
Seokchan Kang, Jeongwon Lee, Jiyeong Lee
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Remote Sensing, 2020 High-quality road network information plays a vital role in regional economic development, disaster emergency management and land planning. To date, studies have primarily focused on sampling flat urban roads, while fewer have paid attention to road ...
Zeyu Xu +7 more
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IEEE Access, 2023 As the boost of modern society, research on the extraction of road traffic markings has become increasingly popular. To improve the regional convolutional neural network, improve the road surface cloud segmentation algorithm based on the radius filtering
Fei Yu, Zhaoxia Lu
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