Yikun Liu

• A Cross-Modal Deep Feature Fusion Framework Based on Ensemble Learning for Land Use Classification

  Open Access•Xiaohuan Wu, Houji Qi et al.•ARTICLE•ISPRS International Journal of…•2025

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  Land use classification based on multi-modal data fusion has gained significant attention due to its potential to capture the complex characteristics of urban environments. However, effectively extracting and integrating discriminative features derived from heterogeneous geospatial data remain challenging. This study proposes an ensemble learning framework for land use classification by fusing cross-modal deep features from both physical and soci…

• Interannual variability of summertime aerosol optical depth over East Asia during 2000–2011

  Open Access•Yikun Liu, Junfeng Liu et al.•ARTICLE•Environmental Research Letters•2013

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  Aerosols degrade air quality, perturb atmospheric radiation, and impact regional and global climate. Due to the rapid increase in anthropogenic emissions, aerosol loading over East Asia (EA) is markedly higher than other industrialized regions, which motivates a need to characterize the evolution of aerosols and understand the associated drivers. Based on the MISR satellite data during 2000–2011, a wave-like interannual variation of summertime ae…

• Interannual variability of summertime aerosol optical depth over East Asia during 2000–2011

  Open Access•Yikun Liu, Junfeng Liu et al.•ARTICLE•Environmental Research Letters•2013

  Incluir item

  Aerosols degrade air quality, perturb atmospheric radiation, and impact regional and global climate. Due to the rapid increase in anthropogenic emissions, aerosol loading over East Asia (EA) is markedly higher than other industrialized regions, which motivates a need to characterize the evolution of aerosols and understand the associated drivers. Based on the MISR satellite data during 2000–2011, a wave-like interannual variation of summertime ae…

• A Cross-Modal Deep Feature Fusion Framework Based on Ensemble Learning for Land Use Classification

  Open Access•Xiaohuan Wu, Houji Qi et al.•ARTICLE•ISPRS International Journal of…•2025

  Incluir item

  Land use classification based on multi-modal data fusion has gained significant attention due to its potential to capture the complex characteristics of urban environments. However, effectively extracting and integrating discriminative features derived from heterogeneous geospatial data remain challenging. This study proposes an ensemble learning framework for land use classification by fusing cross-modal deep features from both physical and soci…

Aerosol (1 obra) · Air quality index (1 obra) · Atmospheric aerosols and clouds (1 obra) · Atmospheric chemistry and aerosols (1 obra) · Atmospheric Ozone and Climate (1 obra) · Atmospheric sciences (1 obra) · Autoencoder (1 obra) · China (1 obra) · Climate change (1 obra) · Climatology (1 obra)