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Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis
Published 2025-01-01“…When labeled data are scarce, which is a common challenge in remote sensing, SVM proves more reliable and efficient. Conversely, when abundant training data are available, SAE demonstrates impressive capabilities in learning complex patterns. …”
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Automated Creation and Provisioning of Decision Information Packages for the Smart Factory
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Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models
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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network
Published 2025-01-01“…However, traditional image analysis techniques often struggle to efficiently extract aquaculture ponds in the complex, heterogeneous environments of coastal wetlands. …”
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TMAR: 3-D Transformer Network via Masked Autoencoder Regularization for Hyperspectral Sharpening
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A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation
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DMS-OGSTV: A Novel Infrared Small Target Detection Based on Spatial-Temporal Tensor Model
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991
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Regionalization Analysis of Environmental Drivers of CONUS Grazing Land Biomass
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Single-Frame Infrared Target Detection Based on Fast Content-Related Modeling
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Improving Chinese Fir Plantations DBH Inversion Accuracy Using Ensemble Learning Models Base on UAV-LiDAR
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VTWSAR: A Fast Calculation Method for Visible Time Window of SAR Satellite to Regional Target
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DFC-Net: Dual-Branch Collaborative Feature Enhancement for Cloud Detection in Remote Sensing Images
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Generative Artificial Intelligence for Hyperspectral Sensor Data: A Review
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