Semiconductor Optoelectronics, Volume. 46, Issue 3, 508(2025)

Hyperspectral Unmixing Network Combined with Overlapping Spectral Patch Embedding and Deep Convolution

LI Shihui and YANG Huadong
Author Affiliations
  • School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, CHN
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    The hyperspectral unmixing method, based on Transformer, divides a hyperspectral image into small patches of fixed size without overlapping. The divided patches are then fed as inputs into the Transformer encoder and unmixed by a decoder. However, non-overlapping patch division eliminates similar information between neighboring pixels. Furthermore, some local information is lost in the Transformer feedforward layer, which affects the unmixing effect. In this study, we adopt an improved hyperspectral unmixing method with overlapping spectral patch division and deep convolution in the fully connected layer of Transformer. Hyperspectral imaging experiments show that the unmixing effect achieved by the improved method is more pronounced than that of the original method.

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    LI Shihui, YANG Huadong. Hyperspectral Unmixing Network Combined with Overlapping Spectral Patch Embedding and Deep Convolution[J]. Semiconductor Optoelectronics, 2025, 46(3): 508

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    Paper Information

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    Received: Feb. 19, 2025

    Accepted: Sep. 18, 2025

    Published Online: Sep. 18, 2025

    The Author Email:

    DOI:10.16818/j.issn1001-5868.20250219002

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