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Shifen Cheng, Feng Lu, Peng Peng and Sheng Wu    

Short-term traffic forecasting plays an important part in intelligent transportation systems. Spatiotemporal k-nearest neighbor models (ST-KNNs) have been widely adopted for short-term traffic forecasting in which spatiotemporal matrices are constructed ... see more


Dong Wang, Shenghui Fang, Zhenzhong Yang, Lin Wang, Wenchao Tang, Yucui Li and Chunyan Tong    

This study proposed a colorimetric transformation and spectral features-based oilseed rape extraction algorithm (CSRA) to map oilseed rape at the provincial scale as a first step towards country-scale coverage. Using a stepwise analysis strategy, our met... see more


Flavio Poletti, Patrick M. Bösch, Francesco Ciari and Kay W. Axhausen    

For the simulation of public transport, next to a schedule, knowledge of the public transport routes is required. While the schedules are becoming available, the precise network routes often remain unknown and must be reconstructed. For large-scale netwo... see more


Can Cui, Ying Li, Bingxin Liu and Guannan Li    

The current methods that use hyperspectral remote sensing imagery to extract and monitor marine oil spills are quite popular. However, the automatic extraction of endmembers from hyperspectral imagery remains a challenge. This paper proposes a data field... see more


Junghee Jo and Kang-Woo Lee    

With the rapid development of Internet of Things (IoT) technologies, the increasing volume and diversity of sources of geospatial big data have created challenges in storing, managing, and processing data. In addition to the general characteristics of bi... see more