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Akademický článek

Fractional crop-planting area projection by integrating geographic grid data and agricultural statistics based on random forest regression

Autor: Chunlin Huang, Jinliang Hou, Xianghua Li, Ying Zhang, Jifu Guo

Publikováno v: International Journal of Digital Earth, Vol 16, Iss 2, Pp 4446-4470 (2023)

Accurate fractional crop-planting area (FCPA) mapping is a challenging task as it requires leveraging the advantages of geographic data in detailed spatial expression and agricultural statistics in the description of crop types and quantitative chara

Externí odkaz: https://doaj.org/article/b8c02cc765944f2b91c1a96ba33a84de

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Akademický článek

Incorporating Traffic Flow Model into A Deep Learning Method for Traffic State Estimation: A Hybrid Stepwise Modeling Framework

Autor: Yuyan Annie Pan, Jifu Guo, Yanyan Chen, Siyang Li, Wenhao Li

Publikováno v: Journal of Advanced Transportation, Vol 2022 (2022)

Traffic state estimation (TSE), which reconstructs the traffic variables (e.g., speed, flow) on road segments using partially observed data, plays an essential role in intelligent transportation systems. Generally, traffic estimation problems can be

Externí odkaz: https://doaj.org/article/32f1a133ac1c475fb45e1880a95f4f9c

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Akademický článek

Open-Source Public Transportation Mobility Simulation Engine DTALite-S: A Discretized Space–Time Network-Based Modeling Framework for Bridging Multi-agent Simulation and Optimization

Autor: Lu Tong, Yuyan Pan, Pan Shang, Jifu Guo, Kai Xian, Xuesong Zhou

Publikováno v: Urban Rail Transit, Vol 5, Iss 1, Pp 1-16 (2019)

Abstract Recently, an open-source light-weight dynamic traffic assignment (DTA) package, namely DTALite, has been developed to allow a rapid utilization of advanced dynamic traffic analysis capabilities. Aiming to bridge the modeling gaps between mul

Externí odkaz: https://doaj.org/article/583bd8d0d0af4f7fb0acac40530c0af9

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Akademický článek

A Scalable Computing Resources System for Remote Sensing Big Data Processing Using GeoPySpark Based on Spark on K8s

Autor: Jifu Guo, Chunlin Huang, Jinliang Hou

Publikováno v: Remote Sensing, Vol 14, Iss 3, p 521 (2022)

As a result of Earth observation (EO) entering the era of big data, a significant challenge relating to by the storage, analysis, and visualization of a massive amount of remote sensing (RS) data must be addressed. In this paper, we proposed a novel

Externí odkaz: https://doaj.org/article/af6266d537304084b08316b9279ed429

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Akademický článek

Analyzing the Impact of Traffic Congestion Mitigation: From an Explainable Neural Network Learning Framework to Marginal Effect Analyses

Autor: Jianping Sun, Jifu Guo, Xin Wu, Qian Zhu, Danting Wu, Kai Xian, Xuesong Zhou

Publikováno v: Sensors, Vol 19, Iss 10, p 2254 (2019)

Computational graphs (CGs) have been widely utilized in numerical analysis and deep learning to represent directed forward networks of data flows between operations. This paper aims to develop an explainable learning framework that can fully integrat

Externí odkaz: https://doaj.org/article/8025d06fe1f941fa8afa3f98c9cd4506

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Akademický článek

Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques

Autor: Jinliang Hou, Chunlin Huang, Ying Zhang, Jifu Guo, Juan Gu

Publikováno v: Remote Sensing, Vol 11, Iss 1, p 90 (2019)

Cloud obscuration leaves significant gaps in MODIS snow cover products. In this study, an innovative gap-filling method based on the concept of non-local spatio-temporal filtering (NSTF) is proposed to reconstruct the cloud gaps in MODIS fractional s

Externí odkaz: https://doaj.org/article/6e8617d6d12a45179dc21d580f8e7f19

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