Internal Special Research Projects
Internal Special Research Projects
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2022 Sei-ichiro Kamata
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I published two papers in international conferences - the 26th International Conference on Pattern Recognition (ICPR) and the International Conference on Image Processing (ICIP) in 2022. The first paper [1], presented a novel approach to designing a unified spectral-spatial Transformer for hyperspectral image classification. Specifically, I proposed a cascaded integration of the spectral vision Transformer with the spatial pyramid vision Transformer, along with a cross-scale fusion module. Moreover, I introduced a local-global encoder in the spatial domain, which validates the effectiveness of incorporating local features into the Transformer model. Overall, my paper contributed to the advancement and practicality of using a pure vision Transformer-based model for hyperspectral image classification. The second paper [2] proposed a new approach for addressing hyperspectral image classification by leveraging the 3D configuration of a vision Transformer, which enabled simultaneous correlation of spectral and spatial features. To this end, I introduced a novel 3D coordinate positional embedding method that distinguished the relative distances among all hyper-cubes resulting from the 3D partition operation. I also designed a local-global feature combination approach that seamlessly integrates with the 3D configuration of the vision Transformer. Furthermore, we presented our research at two conferences and received positive feedback.
Click to view the Scopus page. The data was downloaded from Scopus API in May 27, 2023, via http://api.elsevier.com and http://www.scopus.com .