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Ze Pan, Zheng Tan and Qunbo Lv
The multi-frame super-resolution techniques have been prosperous over the past two decades. However, little attention has been paid to the combination of deep learning and multi-frame super-resolution. One reason is that most deep learning-based super-re...
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Vitaly K. Fischenko, Anna A. Goncharova, Grigory I. Dolgikh, Petr S. Zimin, Aleksey E. Subote, Nelly A. Klescheva and Andrey V. Golik
The article describes the technology of express analysis of images and videos, recorded by coastal video monitoring systems, developed by the authors. Its main feature is its ability to measure or evaluate in real time the signals of sea waves, sea level...
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Ling Li, Zhengwei He, Sheng Chen, Xiongfa Mai, Asi Zhang, Baoqing Hu, Zhi Li and Xinhua Tong
Short-term high-resolution quantitative precipitation forecasting (QPF) is very important for flash-flood warning, navigation safety, and other hydrological applications. This paper proposes a subpixel-based QPF algorithm using a pyramid Lucas?Kanade opt...
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Chang Huang, Yun Chen, Shiqiang Zhang, Linyi Li, Kaifang Shi and Rui Liu
Capturing the dynamics of a lake-water area using remotely sensed images has always been an essential task. Most of the fine spatial resolution data are unsuitable for this purpose because of their low temporal resolution and limited scene coverage. A Vi...
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Xulong Liu, Ruru Deng, Jianhui Xu, Feifei Zhang
Pág. 1 - 18
High-resolution water mapping with remotely sensed data is essential to monitoring of rainstorm waterlogging and flood disasters. In this study, a modified linear spectral mixture analysis (LSMA) method is proposed to extract high-precision water fractio...
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Lee, E. S. Kang, M. G.
Pág. 826 - 837
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