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王明常
Mingchang Wang
(教授)
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学位:博士
性别:男
学历:博士研究生毕业
在职信息:在职
所在单位:地球探测科学与技术学院
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Cloud removal in remote sensing images using the G2R framework and SSMamba. Remote Sensing of Environment. 2026,337 :1-16
Integrating terrain and spectral attributes for automated water–land classification using airborne LiDAR without any prior information. Applied Optics. 2026,65 (7):2053-2062
TSSMamba: A temporal–spectral–spatial state space model for multi-temporal remote sensing cloud removal. International Journal of Applied Earth Observation and Geoinformation. 2026 :1-13
An interpretable rock mass quality intelligent classification model (IRICM) driven by refined decision rule and its application. International Journal of Rock Mechanics and Mining Sciences. 2026,199 :1-21
MBFI-Net: Multi-Branch Feature Interaction Network for Semantic Change Detection. Remote Sensing. 2026
RNPC-net: Automatic recognition and mapping of weathering degree and groundwater condition of tunnel faces. Journal of Rock Mechanics and Geotechnical Engineering. 2026
Cross-modal integration framework for soil organic matter estimation using proximal and satellite spectral data: Modeling optimization with particle size effects and spatial similarity. Geoderma. 2026
Integrating bi-dynamic strategy and multivariate deep learning algorithms to predict high-accuracy, long-term cropland soil organic matter. International Soil and Water Conservation Research. 2025
Mapping soil organic matter contents under the impact of soil erosion intensity. Geoderma. 2025,462 :1-16
Detection of Larch Caterpillar Infestation in Typical Forest Areas of Changbai Mountain, China, Based on Integrated Satellite Hyperspectral and Multispectral Data. Remote Sensing. 2025,17 (19):1-19
Deep learning-based identification of maize phenological stages in UAV imagery. Smart Agricultural Technology. 2025,12 :1-12
Automatic extraction of tunnel surrounding rock fractures based on FPD-net and integrated post-processing technology. Tunnelling and Underground Space Technology. 2025,166 :1-20
A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data. Geoderma. 2025 (460):1-14
Adjusting the Main Cropping Types in Mollisol Regions Could Improve the Net Primary Productivity of Low‐Producing Areas by 20%–30% Under Future Climate Change. Earth's Future. 2025,13 :1-20
Deep learning combined with focus on important feature strategy for the detection of Dendrolimus infestation area. Computers and Electronics in Agriculture. 2025,237 :1-12
Changes in cropland soil color in Northeast China’s black soils region over the past 30 years. Soil & Tillage Research. 2025,254 :1-13
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