Publications by authors named "Yaoming Cai"
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data.
IEEE Trans Neural Netw Learn Syst
May 2024
Article Synopsis
- The article addresses the challenges of clustering multimodal remote sensing data, noting that current methods struggle with large datasets and fail to account for nonlinear spatial relationships.
- It presents a new framework called anchor-based multiview kernel subspace clustering with spatial regularization (AMKSC), which uses a scalable anchor graph and integrates spatial smoothing for better consistency.
- The proposed method shows improved clustering performance and efficiency in tests on multiple real datasets, and it features an extension for handling larger and unseen data, with source code available for public use.
Hyperspectral image (HSI) consists of hundreds of narrow spectral band components with rich spectral and spatial information. Extreme Learning Machine (ELM) has been widely used for HSI analysis. However, the classical ELM is difficult to use for sparse feature leaning due to its randomly generated hidden layer.
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