cimy-wang / aspcnet_hsic Goto Github PK

• ⭐️ A lecturer at the School of Computer Science, Guangdong Polytechnic Normal University.
• 📚 Current research interests include computer vision, pattern recognition, and multimodal data fusion.
• 🌱 Received the Ph. D. degree in Electronics Information from Sun Yat-sen University.
• 💬 Ask me about Matlab, Python and my projects on [email protected], [email protected], [email protected]

1. AM³Net_Multimodal_Data_Fusion [IEEE TCSVT'2022] Relased
   • Proposing multimodal data fusion methods pay more attention to the specificity of HSI spectral channels and the complementarity of HSI and LiDAR spatial information and consider more feature transmission processes among different modalities collaboratively.
2. ASPCNet_HSIC [Neurocomuting'2022] Relased
   • This paper proposes an adaptive spatial pattern capsule network (ASPCNet) architecture by developing an adaptive spatial pattern (ASP) unit, that can rotate the sampling location of convolutional kernels on the basis of an enlarged receptive field. And it could adaptively changed according to the inconsistent semantic information of HSIs.
3. KNNRS-HSIC [IEEE JSTARS'2018]
   • To further explore the optimal representations of superpixels, the KNNRS method based on two k selection rules is proposed to find the most representative training and test samples.
4. Cimy_PPtools
   • This is a Python toolbox that supports data preprocessing for tasks such as hyperspectral classification and fusion, as well as model saving and result visualization.

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