Results 21 to 30 of about 294,721 (265)
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation
IEEE Access, 2020 This study presents a shallow and robust road segmentation model. The computer-aided real-time applications, like driver assistance, require real-time and accurate processing.
Muhammad Junaid +6 more
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A Novel Hierarchical Model in Ensemble Environment for Road Detection Application
Remote Sensing, 2021 As a popular research direction in the field of intelligent transportation, road detection has been extensively concerned by many researchers. However, there are still some key issues in specific applications that need to be further improved, such as the
Yang Gu, Bingfeng Si, Bushi Liu
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Multi-Classifier Feature Fusion-Based Road Detection for Connected Autonomous Vehicles
Applied Sciences, 2021 Connected autonomous vehicles (CAVs) currently promise cooperation between vehicles, providing abundant and real-time information through wireless communication technologies. In this paper, a two-level fusion of classifiers (TLFC) approach is proposed by
Prabu Subramani +4 more
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CoRR, 2019 Successive frames of a video are highly redundant, and the most popular object detection methods do not take advantage of this fact. Using multiple consecutive frames can improve detection of small objects or difficult examples and can improve speed and detection consistency in a video sequence, for instance by interpolating features between frames. In
Hughes Perreault +3 more
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Identifying Streetscape Features Using VHR Imagery and Deep Learning Applications
Remote Sensing, 2021 Deep Learning (DL) based identification and detection of elements in urban spaces through Earth Observation (EO) datasets have been widely researched and discussed.
Deepank Verma +2 more
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An Extraction Method of Weak Low-Frequency Magnetic Communication Signals Based on Multisensor
Journal of Electrical and Computer Engineering, 2015 It is a technical challenge to effectively remove the influence of magnetic noise from the vicinity of the receiving sensors on low-frequency magnetic communication. The traditional denoising methods are difficult to extract high-quality original signals
Chao Huang +5 more
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Remote Sensing, 2015 The growing availability of high-resolution satellite imagery provides an opportunity for identifying road objects. Most studies associated with road detection are scene-related and also based on the digital number of each pixel.
Maryam Nikfar +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automatic extraction of road information based on data-driven methods is significant for various practical applications. Remote sensing (RS) images and GPS trajectories are two available data sources that can describe roads from a complementary ...
Yali Li +4 more
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Road Detection From Remote Sensing Images by Generative Adversarial Networks
IEEE Access, 2018 Road detection with high-precision from very high resolution remote sensing imagery is very important in a huge variety of applications. However, most existing approaches do not automatically extract the road with a smooth appearance and accurate ...
Qian Shi, Xiaoping Liu, Xia Li
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National-Scale Detection of New Forest Roads in Sentinel-2 Time Series
Remote SensingThe Norwegian Environment Agency is responsible for updating a map of undisturbed nature, which is performed every five years based on aerial photos. Some of the aerial photos are already up to five years old when a new version of the map of undisturbed ...
Øivind Due Trier, Arnt-Børre Salberg
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