Junzhen Meng
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View article: Study on Annual Signals of Greenland Ice Sheet Mass and Associated Influencing Factors Based on GRACE/GRACE-FO Data
Study on Annual Signals of Greenland Ice Sheet Mass and Associated Influencing Factors Based on GRACE/GRACE-FO Data Open
As global temperatures rise, the Greenland ice sheet (GrIS) is undergoing accelerating mass loss, with significant implications for sea level rise and climate systems. Using GRACE and GRACE Follow-On (GRACE-FO) RL06 data from April 2002 to…
View article: Research on Fine-Scale Terrain Construction in High Vegetation Coverage Areas Based on Implicit Neural Representations
Research on Fine-Scale Terrain Construction in High Vegetation Coverage Areas Based on Implicit Neural Representations Open
Due to the high-density coverage of vegetation, the complexity of terrain, and occlusion issues, ground point extraction faces significant challenges. Airborne Light Detection and Ranging (LiDAR) technology plays a crucial role in complex …
View article: Tracking Evapotranspiration Patterns on the Yinchuan Plain with Multispectral Remote Sensing
Tracking Evapotranspiration Patterns on the Yinchuan Plain with Multispectral Remote Sensing Open
Evapotranspiration (ET) is a critical component of the hydrological cycle, and it has a decisive impact on the ecosystem balance in arid and semi-arid regions. The Yinchuan Plain, located in the Gobi of Northwest China, has a strong surfac…
View article: Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning
Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning Open
The crack detection of concrete bridges is an important link in the safety evaluation of bridge structures, and the rapid and accurate identification and detection of bridge cracks is a prerequisite for ensuring the safety and long-term st…
View article: Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models
Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models Open
A high-quality dataset is a basic requirement to ensure the training quality and prediction accuracy of a deep learning network model (DLNM). To explore the influence of label image accuracy on the performance of a concrete crack segmentat…
View article: Mixed Structure with 3D Multi-Shortcut-Link Networks for Hyperspectral Image Classification
Mixed Structure with 3D Multi-Shortcut-Link Networks for Hyperspectral Image Classification Open
A hyperspectral image classification method based on a mixed structure with a 3D multi-shortcut-link network (MSLN) was proposed for the features of few labeled samples, excess noise, and heterogeneous homogeneity of features in hyperspect…
View article: Raster data projection transformation based-on Kriging interpolation approximate grid algorithm
Raster data projection transformation based-on Kriging interpolation approximate grid algorithm Open
To solve the problems of small area, slow calculation speed and low precision in the projection transformation algorithm of raster data, the idea of using Kriging interpolation approximate grid algorithm for raster data projection transfor…