论文信息 - Vessel Trajectory Reconstruction Based on Functional Data Analysis Using Automatic Identification System Data - 字舞流文

Vessel Trajectory Reconstruction Based on Functional Data Analysis Using Automatic Identification System Data

Dong Ha Lee | Myeong-Hun Jeong | Seung-Bae Jeon | Tae Young Lee | Min Kyo Youm | D. H. Lee | Myeong-Hun Jeong | S. Jeon | T. Lee | MinKyo Youm

[1] J. Romo,et al. On the Concept of Depth for Functional Data , 2009 .

[2] James Biagioni,et al. Inferring Road Maps from Global Positioning System Traces , 2012 .

[3] Andy Hopper,et al. Scalable, Distributed, Real-Time Map Generation , 2006, IEEE Pervasive Computing.

[4] Tae Young Lee,et al. Robust local Spatial Autocorrelation Analysis of Massive Vessel Movements , 2019 .

[5] R. Serfling,et al. General notions of statistical depth function , 2000 .

[6] Patrick Weber,et al. OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[7] Robert B. Noland,et al. Current map-matching algorithms for transport applications: State-of-the art and future research directions , 2007 .

[8] Eduardo Mario Nebot,et al. Robust Inference of Principal Road Paths for Intelligent Transportation Systems , 2011, IEEE Transactions on Intelligent Transportation Systems.

[9] Shaowen Wang,et al. Robust abnormality detection methods for spatial search of radioactive materials , 2019, Trans. GIS.

[10] Rebecka Jornsten,et al. Functional analysis via extensions of the band depth , 2007 .

[11] James O. Ramsay,et al. Functional Data Analysis , 2005 .