Self-Supervised Locality Preserving Low-Pass Graph Convolutional Embedding for Large-Scale Hyperspectral Image Clustering

Hyperspectral imagery (HSI) acquired by remote sensing system are composed of hundreds of contiguous and narrow spectral bands with abundant spatial-spectral information in the electromagnetic spectrum (Liu et al. in IEEE Trans Neural Netw Learn Syst 34:8989–9003, 2022; Gao et al. in IEEE Trans Geosci Remote Sens 60:1–15, 2022; Ding et al. in IEEE Geosci Remote Sens Lett 19:1–5, 2022). Due to its unique advantages, HSI has attracted lots of attention and has been widely applied in various fields, including military reconnaissance, urban mapping, biochemical detection, forest fire detection, and target recognition (Ding et al. in IEEE J Select Top Appl Earth Observ Remote Sens 14:4561–4572, 2021; Ding et al. in IEEE Trans Geosci Remote Sens 60:1–12, 2022; Li et al. in IEEE Trans Neural Netw Learn Syst 34:8057–8070, 2022), etc.