An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images
Authors:
- Chen WuChen Wu
- Yinong GuoYGYinong Guo
- Haonan GuoHGHaonan Guo
- Jingwen YuanJYJingwen Yuan
- Lixiang RuLRLixiang Ru
- Hongruixuan ChenHCHongruixuan Chen
- Bo DuBDBo Du
- Liangpei ZhangLZLiangpei Zhang
Open Access
- 1 December 2021
- journal article
- research article
- Published by Elsevier in International Journal of Applied Earth Observation and Geoinformation
- Vol. 103, 102503
Abstract
No abstract availableKeywords
Funding Information
- Major Science and Technology Project of Hainan Province (2019AEA170)
- Natural Science Foundation of Hubei Province (2020CFB594)
- National Natural Science Foundation of China (61822113)
- National Natural Science Foundation of China (61971317)
This publication has 30 references indexed in Scilit:
- A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategiesISPRS Journal of Photogrammetry and Remote Sensing, 2018
- Global patterns of tropical forest fragmentationNature, 2018
- Arbitrary-Oriented Vehicle Detection in Aerial Imagery with Single Convolutional Neural NetworksRemote Sensing, 2017
- Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial ImagesRemote Sensing, 2017
- Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example MiningSensors, 2017
- Vehicle Detection in High-Resolution Aerial Images via Sparse Representation and SuperpixelsIEEE Transactions on Geoscience and Remote Sensing, 2015
- A comprehensive change detection method for updating the National Land Cover Database to circa 2011Remote Sensing of Environment, 2013
- Vehicle Detection in Very High Resolution Satellite Images of City AreasIEEE Transactions on Geoscience and Remote Sensing, 2010
- Classification-based vehicle detection in high-resolution satellite imagesISPRS Journal of Photogrammetry and Remote Sensing, 2009
- A comparative study on shadow compensation of color aerial images in invariant color modelsIEEE Transactions on Geoscience and Remote Sensing, 2006