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Hong, D., Gao, L., Yokoya, N., Yao, J., Chanussot, J., Du, Q., & Zhang, B. (2020). More diverse means better: Multimodal deep learning meets remote-sensing imagery classification. IEEE Transactions on Geoscience and Remote Sensing, 59(5), 4340-4354.
Hong, Danfeng, et al. "More diverse means better: Multimodal deep learning meets remote-sensing imagery classification." IEEE Transactions on Geoscience and Remote Sensing 59.5 (2020): 4340-4354.
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D Hong, L Gao, N Yokoya, J Yao… - … on Geoscience and …, 2020 - ieeexplore.ieee.org

More diverse means better: Multimodal deep learning meets remote-sensing imagery classification.

Geoscience Opportunities for Leadership in Diversity AND Program Evaluation

Gao, Hong, Yao, Yokoya

GSID: ykANUMW29RAJ

Excerpt

Classification and identification of the materials lying over or beneath the earth's surface have long been a fundamental but challenging research topic in geoscience and remote sensing (RS), and have garnered a growing concern owing to the recent advancements of deep learning techniques. Although deep networks have been successfully applied in single-modality-dominated classification tasks, yet their performance inevitably meets the bottleneck in complex scenes that need to be finely classified, due to the limitation of …

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