Latest Research in Remote-Sensing Image Classification
30 research papers · 2.4 average citations · 2026 median publication year
Top Research Topics in Remote-Sensing Image Classification
- Remote-Sensing Image Classification — 12 papers
- Computer Vision and Pattern Recognition — 7 papers
- Advanced Image Fusion Techniques — 4 papers
- Single-cell and spatial transcriptomics — 1 papers
- Explainable Artificial Intelligence (XAI) — 1 papers
- Neural dynamics and brain function — 1 papers
- Signal Processing — 1 papers
- Optical Imaging and Spectroscopy Techniques — 1 papers
- Image and Video Processing — 1 papers
- Aesthetic Perception and Analysis — 1 papers
Highest-Cited Papers
- Which Backbone Picks Which Wordification? A Factorial Study of Topic-Model Families on Hyperspectral Imagery (24 citations)
- Beyond Accuracy: A Multi-Axis Evaluation Framework for Interpretable Topic Models on Hyperspectral Imagery (24 citations)
- Post-hoc Interpretability of LDA on Hyperspectral Imagery: SHAP Attributions, Counterfactual Topic Flips, and LLM-judge Alignment under Token-Mass-Dispersion Asymmetry (25 citations)
- Beyond Accuracy: A Multi-Axis Evaluation Framework for Interpretable Topic Models on Hyperspectral Imagery (24 citations)
- Beyond Accuracy: A Multi-Axis Evaluation Framework for Interpretable Topic Models on Hyperspectral Imagery (24 citations)
- Beyond Accuracy: A Multi-Axis Evaluation Framework for Interpretable Topic Models on Hyperspectral Imagery (24 citations)
- Which Backbone Picks Which Wordification? A Factorial Study of Topic-Model Families on Hyperspectral Imagery (24 citations)
- Task-Oriented Semantic Feature Transmission for Multi-Task Satellite Remote Sensing over Low-SNR Channels
- A model-driven multi-feature fusion network for hyperspectral unmixing with spectral variability
- Unsupervised Scale-Conditioned Hyperspectral and Multispectral Image Fusion via a Frequency–Spatial Dual-Domain Network
- Weighted Strong Product Graph Laplacian Regularization for Hyperspectral Image Mixed-Noise Removal with Superpixel Segmentation
- LMCAN: A Lightweight Multiscale Contextual Attention Network for Hyperspectral and Multispectral Image Fusion
- Robustness Evaluation of Hyperspectral Image Classification Models Using Degradation-Aware Metrics
- A Conditional Denoising Diffusion Probabilistic Model for RFI Mitigation in Synthetic Aperture Interferometric Radiometer
- A novel channel-encoder latent diffusion models for in vivo human brain spectral reconstruction
- AXS-Net: Interpretable Deep Unfolding for Hyperspectral Image Denoising via Spectral Basis Unmixing and Structured Noise Refinement
- GMoE-AD: Generalized Hyperspectral Anomaly Detection via Mixture-of-Experts and Domain-Invariant Learning
- HyVIC: A Metric-Driven Spatio-Spectral Hyperspectral Image Compression Architecture Based on Variational Autoencoders
- Image Quality Assessment Methods for Multispectral Pan-Sharpening Images: A Comprehensive Review
- Learning Spatial-Spectral Refinement and Calibrating Complementary Observations for Hyperspectral Image Super-Resolution