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Li Liu

China Three Gorges University

Yichang

China

SCHOLARLY PAPERS

2

DOWNLOADS

127

TOTAL CITATIONS

0

Scholarly Papers (2)

SimTA: A dual-polarization SAR time series rice field mapping model based on deep feature-level fusion and spatio-temporal attention

Number of pages: 62 Posted: 30 Oct 2025
Hubei Agricultural Environmental Monitoring Engineering Technology Research Center, China Three Gorges University, China Three Gorges University, affiliation not provided to SSRN, affiliation not provided to SSRN, China Three Gorges University, China Three Gorges University, China Three Gorges University, Fuzhou University, Ningbo University and Zhejiang University
Downloads 59 (1,017,159)

Abstract:

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rice field mapping, Synthetic Aperture Radar, feature fusion, remote sensing, spatio-temporal attention mechanism

SimTA: A dual-polarization SAR time series rice field mapping model based on deep feature-level fusion and spatio-temporal attention

Number of pages: 40 Posted: 03 Dec 2025
Hubei Agricultural Environmental Monitoring Engineering Technology Research Center, China Three Gorges University, China Three Gorges University, affiliation not provided to SSRN, affiliation not provided to SSRN, China Three Gorges University, China Three Gorges University, China Three Gorges University, Fuzhou University, Ningbo University and Zhejiang University
Downloads 40 (1,252,562)

Abstract:

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rice field mapping, Synthetic Aperture Radar, Feature fusion, Remote Sensing, spatio-temporal attention mechanism

2.

Masfnet: Multi-Level Attention and Spatial Sampling Fusion Network for Pine Wilt Disease Trees Detection

Number of pages: 33 Posted: 10 Oct 2024
Hubei Agricultural Environmental Monitoring Engineering Technology Research Center, China Three Gorges University, China Three Gorges University, China Three Gorges University, Zhejiang University, China Three Gorges University, China Three Gorges University, China Three Gorges University, China Three Gorges University and Hangzhou Dianzi University
Downloads 28 (1,345,526)

Abstract:

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Unmanned aerial vehicle, Pine wilt disease, Deep learning, Feature fusion, Object detection