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2. Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection

3. Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition

4. Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder

6. LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification

7. A Satellite Band Selection Framework for Amazon Forest Deforestation Detection Task

8. Dropout Concrete Autoencoder for Band Selection on HSI Scenes

9. Embedded Hyperspectral Band Selection with Adaptive Optimization for Image Semantic Segmentation

10. FLUID: A rocket-borne pathfinder instrument for high efficiency UV band selection imaging

12. Anomaly‐background separation and particle swarm optimization based band selection for hyperspectral anomaly detection

14. BSS-Bench: Towards Reproducible and Effective Band Selection Search

17. Convolutional-Neural-Network-Based Onboard Band Selection for Hyperspectral Data With Coarse Band-to-Band Alignment

18. Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery

19. Efficient Onboard Band Selection Algorithm for Hyperspectral Imagery in SmallSat Missions With Limited Downlink Capabilities

20. A Framework of Landsat-8 Band Selection based on UMDA for Deforestation Detection

21. End-to-end Hyperspectral Image Change Detection Network Based on Band Selection

22. Hyperspectral Band Selection via Joint Volume Gradient

23. Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection

24. MOBS-TD: Multiobjective Band Selection With Ideal Solution Optimization Strategy for Hyperspectral Target Detection

25. Sparse Principal Component Analysis and Adaptive Multigraph Learning for Hyperspectral Band Selection

26. Band Relevance Factor (BRF): A novel automatic frequency band selection method based on vibration analysis for rotating machinery.

27. One-shot neural band selection for spectral recovery

35. Mapping the CO2 total column retrieval performance from shortwave infrared measurements: synthetic impacts of the spectral resolution, signal-to-noise ratio, and spectral band selection

36. HybridGT: An Integration of Graph Transformer and LSTM for Effective Hyperspectral Band Selection.

37. Efficient onboard band selection algorithm for hyperspectral imagery in SmallSat missions with limited downlink capabilities

38. Convolutional neural network-based onboard band selection for hyperspectral data with coarse band-to-band alignment

40. SSANet-BS: Spectral–Spatial Cross-Dimensional Attention Network for Hyperspectral Band Selection

45. A Novel Filter Approach for Band Selection and Classification of Hyperspectral Remotely Sensed Images Using Normalized Mutual Information and Support Vector Machines

46. A new band selection approach based on information theory and support vector machine for hyperspectral images reduction and classification

47. Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery

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