王明常论文成果

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王明常Mingchang Wang

(教授)

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

论文成果

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Spatial Prediction Mapping and Driving Force Analysis of Cultivated Land Soil Bulk Density Based on Soil Workability Threshold Partitioning Strategy. Chinese Geographical Science. 2026
Toward Automated and Refined Rock Mass Quality Evaluation: An AR-RMR System Driven by AI and Multi-source Heterogeneous Data. Rock Mechanics and Rock Engineering. 2026
Spatiotemporal prediction of two-dimensional surface deformation in gas field incorporating MSBAS-InSAR and deep learning. Geo-spatial Information Science. 2026 :1-25
A high-resolution (500 m) dataset for mapping key agronomic growth stages of maize in Northeast China. Scientific Data. 2026,13 :1-17
An NDVI-constrained multi-source remote sensing data fusion network for detecting the level of larch caterpillar (Dendrolimus superans) infestation. Journal of Mountain Science. 2026,23 (7):3170–3191
A Phenology–Spectral Dual-Constrained Strategy for Fine-Scale Crop Mapping in Middle-to-High Latitude Agricultural Basins. Sustainability. 2026
Mamba-SCR: a frequency-domain enhanced state space model for cloudremoval with SAR and optical data fusion. GISCIENCE & REMOTE SENSING. 2026,63 (1)
长春市土壤侵蚀时空变化及其驱动力. 生态学杂志. 2026,45 (5):1657－1667
Spatiotemporal Dynamics of Cropland Topsoil Organic Carbon in Changchun, China, Based on Machine Learning and Multi-Source Geospatial Data. Remote Sensing. 2026,18 (11)
RSEI-based monitoring of eco-environmental quality and driving forces in the Heilongjiang–Lena River Basin. Environmental Monitoring and Assessment. 2026,198 (534)
DHCNet: Dynamic Hierarchical Collaborative Learning for Change Detection in High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2026
Multi-level wavelet deep learning for soil property prediction based on multi-platform, multi-modal remote sensing data. International Journal of Applied Earth Observation and Geoinformation. 2026,149
BiSSET-Net: Multi-factor Time Series Prediction of Pine Caterpillar Infestation Risk in Northeast China Based On Bidirectional LSTM and State Space Model. Journal of Geovisualization and Spatial Analysis. 2026,10 :1-23
Multi-Source Remote Sensing-Driven Prediction and Spatiotemporal Analysis of Urban Road Collapse Susceptibility. Remote Sensing. 2026,18 (6)
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

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王明常Mingchang Wang

论文成果

Spatial Prediction Mapping and Driving Force Analysis of Cultivated Land Soil Bulk Density Based on Soil Workability Threshold Partitioning Strategy. Chinese Geographical Science. 2026

Toward Automated and Refined Rock Mass Quality Evaluation: An AR-RMR System Driven by AI and Multi-source Heterogeneous Data. Rock Mechanics and Rock Engineering. 2026

Spatiotemporal prediction of two-dimensional surface deformation in gas field incorporating MSBAS-InSAR and deep learning. Geo-spatial Information Science. 2026 :1-25

A high-resolution (500 m) dataset for mapping key agronomic growth stages of maize in Northeast China. Scientific Data. 2026,13 :1-17

An NDVI-constrained multi-source remote sensing data fusion network for detecting the level of larch caterpillar (Dendrolimus superans) infestation. Journal of Mountain Science. 2026,23 (7):3170–3191

A Phenology–Spectral Dual-Constrained Strategy for Fine-Scale Crop Mapping in Middle-to-High Latitude Agricultural Basins. Sustainability. 2026

Mamba-SCR: a frequency-domain enhanced state space model for cloudremoval with SAR and optical data fusion. GISCIENCE & REMOTE SENSING. 2026,63 (1)

长春市土壤侵蚀时空变化及其驱动力. 生态学杂志. 2026,45 (5):1657－1667

Spatiotemporal Dynamics of Cropland Topsoil Organic Carbon in Changchun, China, Based on Machine Learning and Multi-Source Geospatial Data. Remote Sensing. 2026,18 (11)

RSEI-based monitoring of eco-environmental quality and driving forces in the Heilongjiang–Lena River Basin. Environmental Monitoring and Assessment. 2026,198 (534)

DHCNet: Dynamic Hierarchical Collaborative Learning for Change Detection in High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2026

Multi-level wavelet deep learning for soil property prediction based on multi-platform, multi-modal remote sensing data. International Journal of Applied Earth Observation and Geoinformation. 2026,149

BiSSET-Net: Multi-factor Time Series Prediction of Pine Caterpillar Infestation Risk in Northeast China Based On Bidirectional LSTM and State Space Model. Journal of Geovisualization and Spatial Analysis. 2026,10 :1-23

Multi-Source Remote Sensing-Driven Prediction and Spatiotemporal Analysis of Urban Road Collapse Susceptibility. Remote Sensing. 2026,18 (6)

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