Latest Research in Remote-Sensing Image Classification

Top Research Topics in Remote-Sensing Image Classification

• Remote-Sensing Image Classification — 20 papers
• Computer Vision and Pattern Recognition — 15 papers
• Advanced Neural Network Applications — 5 papers
• Remote Sensing in Agriculture — 4 papers
• Synthetic Aperture Radar (SAR) Applications and Techniques — 3 papers
• Geochemistry and Geologic Mapping — 2 papers
• Remote Sensing and LiDAR Applications — 2 papers
• Advanced Mathematical Theories and Applications — 1 papers
• Machine Learning and Data Classification — 1 papers
• Marine and coastal ecosystems — 1 papers

Highest-Cited Papers

1. No New Results: Survey of Primitive Root Videos and Unrelated LHCb Decay — E8 Intelligence Research
2. Uncertainty-Based Quality-Control Prioritization for High-Resolution Land-Cover Mapping Under Spatially Disjoint Evaluation
3. An Improved DeepLabV3+ Network for Bare Rock Segmentation in Remote Sensing Images
4. SAF-CropNet: Spatially adaptive fusion of SAR and optical imagery for semantic segmentation in operational cropland mapping across regions
5. PDA++: Field-Aligned Planning and Scene-Adaptive Insertion in Remote Sensing
6. FDFormer: frequency difference-guided transformer for change detection in heterogeneous remote sensing images
7. High-resolution land cover mapping from coarse labels via a noisy label learning-guided cross-scale framework
8. VPRef: A Cross-Domain Benchmark for Referring Remote Sensing Image Segmentation
9. From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentation
10. MambaMPD: A Mamba-Driven Segmentation Framework for Marine Pollution Detection from Remote Sensing Imagery
11. MambaMPD: a mamba-driven segmentation framework for marine pollution detection from remote sensing imagery
12. CNN Accuracy–Efficiency Trade-offs Across Computing Platforms: A Literature-Motivated Controlled Deployment Experiment
13. CNN Accuracy–Efficiency Trade-offs Across Computing Platforms: A Literature-Motivated Controlled Deployment Experiment
14. TFSANet: Temporal Fusion and Structure-Aware Network for Remote Sensing Change Detection
15. Multi-source heterogeneous feature fusion and multi-scale edge enhancement method for open-pit mining land cover segmentation
16. Semantic-Driven Adversarial Reconstruction Learning for Open-Set Recognition in Remote Sensing Imagery
17. An improved SegFormer for remote sensing segmentation of construction and demolition waste via frequency-spatial joint perception
18. UAV image segmentation in complex mining areas by integrating spatially adaptive feature modulation and multi-scale context fusion modules
19. DGCR-Net: Dynamic Graph Contextual Reasoning Network for Semantic Segmentation of Remote Sensing Imagery
20. Multimodal-Multiresolution Foundation Model for Lunar Remote Sensing