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Deformation Monitoring of Truss Structure Bridge With Time-Series InSAR Analysis
Published 2025-01-01“…In order to solve these problems, an improved PSI method is proposed in this article, which is first to carry out preliminary elevation measurement by a small temporal baseline, use the preliminary elevation results to PS-arcs construction based on 3-D spatial network, and utilize the optimal model coherence coefficient adaptive selection based on constant false alarm rate to carry out the parameter estimation so as to realize the accurate monitoring of deformation of large-span steel truss structure bridges. …”
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Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats
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Sentinel-2 Masking CNNs Trained on Physics-Supervised Labels
Published 2025-01-01“…Rather than relying on manually labeled data, the proposed method selects high-quality training samples from Python-based atmospheric correction software (PACO), using pixel selection strategies to remove ambiguous or inconsistent labels. …”
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Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network
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PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data
Published 2025-01-01“…Nevertheless, due to the complex terrain of forest areas, it is difficult to ensure the inversion accuracy when training in a specific forested scene and then applying it to other areas. …”
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A Weighted Low-Rank and Sparse Constraint-Based Multichannel Radar Forward-Looking Imaging Method
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Curriculum Preview and Review Based on Knowledge Distillation for Hyperspectral Image Classification
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A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data
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A Polarization-Power-Maximum-Based 3-D Imaging Method for Ku-Band UAV-Borne Fully Polarimetric Array InSAR
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Enhancing Aerosol Vertical Distribution Retrieval With Combined LSTM and Transformer Model From OCO-2 O2 A-Band Observations
Published 2025-01-01“…Furthermore, a physics-based, information-driven band selection method was developed to simplify input data and reduce complexity. …”
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INTEGRAL ASSESSMENT OF WORK-RELATED ARTERIAL HYPERTENSION RISK FACTORS
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From Clusters to Communities: Enhancing Wetland Vegetation Mapping Using Unsupervised and Supervised Synergy
Published 2025-07-01“…The PCT-level classification achieved an overall accuracy of 93.2%, a kappa coefficient of 0.91, and a Matthews correlation coefficient (MCC) of 0.89, with broader classification levels exceeding 95% accuracy. …”
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