Chengbin Wu
Orcid: 0000-0001-5713-4825
According to our database1,
Chengbin Wu
authored at least 10 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
An unmanned aerial system benchmark object detection dataset for deep learning in outfall surveys.
Int. J. Digit. Earth, December, 2024
An Annual "Urban Core-Suburban-Rural" Triad Structure Dataset for China From 1992 to 2021.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
Erratum to "Evaluation of Deep Learning Benchmarks in Retrieving Outfalls Into Rivers With UAS Images".
IEEE Trans. Geosci. Remote. Sens., 2023
Evaluation of Deep Learning Benchmarks in Retrieving Outfalls Into Rivers With UAS Images.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
An Improved Deep Learning Approach for Retrieving Outfalls Into Rivers From UAS Imagery.
IEEE Trans. Geosci. Remote. Sens., 2022
PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets.
Remote. Sens., 2022
An Approach for Retrieving Consistent Time Series "Urban Core-Suburban-Rural" (USR) Structure Using Nighttime Light Data from DMSP/OLS and NPP/VIIRS.
Remote. Sens., 2022
2020
A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light.
Remote. Sens., 2020
2019
ISPRS Int. J. Geo Inf., 2019
A Process-Oriented Spatiotemporal Clustering Method for Complex Trajectories of Dynamic Geographic Phenomena.
IEEE Access, 2019