HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion
Yang, Judy X., Wang, Jing, Li, Zhuanfeng, Sui, Chenhong, Long, Zekun, and Zhou, Jun (2025) HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion. IEEE Geoscience and Remote Sensing Letters, 22. 5505605.
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Abstract
The integration of hyperspectral image (HSI) and light detection and ranging (LiDAR) data provides complementary spectral and spatial information for remote sensing applications. While previous studies have explored the role of band selection and grouping in HSI classification, little attention has been given to how the spectral sequence—or band order—affects classification outcomes when fused with LiDAR. In this letter, we systematically investigate the influence of band order on HSI-LiDAR fusion performance. Through extensive experiments, we demonstrate that band order significantly impacts classification accuracy, revealing a previously overlooked factor in fusion-based models. Motivated by this observation, we propose a novel fusion architecture that not only integrates HSI and LiDAR data but also learns from multiple band order configurations. The proposed method enhances feature representation by adaptively fusing different spectral sequences, leading to improved classification accuracy. Experimental results on the Houston 2013 and Trento datasets show that our approach outperforms state-of-the-art fusion models. Supplementary material and code are available at HSLiNets.
| Item ID: | 92540 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1558-0571 |
| Keywords: | Laser radar; Hyperspectral imaging; Feature extraction; Training; Data mining; Accuracy; Streams; Robustness; Artificial intelligence; Sequential analysis; Data fusion; dual reversed linear nets; hyperspectral image; light detection and ranging (LiDAR) |
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| Copyright Information: | © 2025 IEEE. All rights reserved, including rights for text and data mining, and training of artificial intelligence and similar technologies. |
| Date Deposited: | 30 Jun 2026 22:55 |
| FoR Codes: | 37 EARTH SCIENCES > 3704 Geoinformatics > 370401 Computational modelling and simulation in earth sciences @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4601 Applied computing > 460106 Spatial data and applications @ 50% |
| SEO Codes: | 18 ENVIRONMENTAL MANAGEMENT > 1899 Other environmental management > 189999 Other environmental management not elsewhere classified @ 50% 22 INFORMATION AND COMMUNICATION SERVICES > 2201 Communication technologies, systems and services > 220106 Satellite technologies, networks and services @ 50% |
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