A Deep Learning-Based Solution for Large-Scale Extraction of the Secondary Road Network from High-Resolution Aerial Orthoimagery
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Deep Learning-Based Solution for Large-Scale Extraction of the Secondary Road Network from High-Resolution Aerial Orthoimagery
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 10, Issue 20, Pages 7272
Publisher
MDPI AG
Online
2020-10-17
DOI
10.3390/app10207272
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Framework Based on Nesting of Convolutional Neural Networks to Classify Secondary Roads in High Resolution Aerial Orthoimages
- (2020) Calimanut-Ionut Cira et al. Remote Sensing
- Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving
- (2019) Suvash Sharma et al. SENSORS
- Oil palm plantation mapping from high-resolution remote sensing images using deep learning
- (2019) Runmin Dong et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Automated Method of Road Extraction from Aerial Images Using a Deep Convolutional Neural Network
- (2019) Tamara Alshaikhli et al. Applied Sciences-Basel
- One For All: A Mutual Enhancement Method for Object Detection and Semantic Segmentation
- (2019) Shichao Zhang et al. Applied Sciences-Basel
- A survey on deep learning techniques for image and video semantic segmentation
- (2018) Alberto Garcia-Garcia et al. APPLIED SOFT COMPUTING
- Road Extraction by Deep Residual U-Net
- (2018) Zhengxin Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
- (2018) Qi Wang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- UFCN: a fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle
- (2018) Ramesh Kestur et al. Journal of Applied Remote Sensing
- Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks
- (2018) Corentin Henry et al. IEEE Geoscience and Remote Sensing Letters
- Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning
- (2018) Yongyang Xu et al. Remote Sensing
- RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images
- (2018) Yahui Liu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks
- (2017) Rasha Alshehhi et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields
- (2017) Teerapong Panboonyuen et al. Remote Sensing
- Rural Road Extraction from High-Resolution Remote Sensing Images Based on Geometric Feature Inference
- (2017) Jian Liu et al. ISPRS International Journal of Geo-Information
- Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances
- (2016) Devis Tuia et al. IEEE Geoscience and Remote Sensing Magazine
- Do We Need More Training Data?
- (2015) Xiangxin Zhu et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Connected component-based technique for automatic extraction of road centerline in high resolution satellite images
- (2015) Chinnathevar Sujatha et al. EURASIP Journal on Image and Video Processing
- Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
- (2015) Fan Hu et al. Remote Sensing
- The Pascal Visual Object Classes Challenge: A Retrospective
- (2014) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
- (2013) Gustavo Camps-Valls et al. IEEE SIGNAL PROCESSING MAGAZINE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now