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DOI | 10.1016/j.rse.2020.111867 |
Space eye on flying aircraft: From Sentinel-2 MSI parallax to hybrid computing | |
Liu Y.; Xu B.; Zhi W.; Hu C.; Dong Y.; Jin S.; Lu Y.; Chen T.; Xu W.; Liu Y.; Zhao B.; Lu W. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 246 |
英文摘要 | Knowledge of the status (position and speed) of flying aircraft is vital for efficient and safe air space management. However, this requirement is often compromised due to the complexity of the aviation environment. Satellite remote sensing (RS) provides a complementary means for tracing aircraft, but is often limited to finding motionless aircraft under specific scenarios (e.g., at airports). Here, based on the inter-band offsets due to hardware parallax in push-broom sensors (e.g., Sentinel-2 Multispectral Instrument or MSI), we develop a method for detecting flying aircraft in an automated fashion. Supported by a hybrid computation framework (based on Google Earth Engine computation and local computation) specifically designed to address the challenge of processing large volume of moderate resolution RS data at a global scale, the method is applied to more than 2.31 million MSI images to establish a map of the global distribution of flying aircraft. The detected flying aircraft coincide well with those determined using traditional techniques (e.g., Flightradar24), when both datasets co-exist. With the existing and future moderate-resolution data captured by push-broom satellite sensors, the method is believed to provide a robust and cost-effective means of detecting aircraft status at a global scale, thus supplementing the traditional methods for tracking flying aircraft. The same method is also used to estimate the inter-band and inter-granule time offsets in multi-band MSI and Landsat-8 Operational Land Imager (OLI) images, which may provide critical information needed to correct artifacts in aquatic applications. © 2020 Elsevier Inc. |
英文关键词 | Flying aircraft detection; Hybrid computation; Parallax; Sentinel-2 MSI |
语种 | 英语 |
scopus关键词 | Aircraft; Cost effectiveness; Geometrical optics; Information granules; Remote sensing; Aviation environments; Cost-effective means; Global distribution; Moderate resolution; Multispectral instruments; Operational land imager; Satellite remote sensing; Traditional techniques; Aircraft detection; airborne survey; instrumentation; Landsat; remote sensing; satellite data; satellite imagery; satellite sensor; Sentinel |
来源期刊 | Remote Sensing of Environment |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179286 |
作者单位 | School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu Province 210046, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu Province, 210046, China; College of Marine Science, University of South Florida, St. Petersburg, FL 33701, United States |
推荐引用方式 GB/T 7714 | Liu Y.,Xu B.,Zhi W.,et al. Space eye on flying aircraft: From Sentinel-2 MSI parallax to hybrid computing[J],2020,246. |
APA | Liu Y..,Xu B..,Zhi W..,Hu C..,Dong Y..,...&Lu W..(2020).Space eye on flying aircraft: From Sentinel-2 MSI parallax to hybrid computing.Remote Sensing of Environment,246. |
MLA | Liu Y.,et al."Space eye on flying aircraft: From Sentinel-2 MSI parallax to hybrid computing".Remote Sensing of Environment 246(2020). |
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