Hyperspectral image (HSI) has the distinct advantage of obtaining continuous spectral details about target objects. Due to this, it has found extensive applications across a wide range of fields (Peng et al. in IEEE Trans Geosci Remote Sens 57:1183–1194, 2018; Peng et al. in IEEE Trans Neural Netw Learn Syst 30:1790–1802, 2018). These include earth observation (Lv et al., IEEE Geosci Remote Sens Lett 20:1–5, 2023), environmental monitoring (Lv et al. in IEEE Trans Geosci Remote Sens 61:1–15, 2023), military detection (Feng et al. in IEEE Trans Geosci Remote Sens 61:1–20, 2022), and resource exploration (Feng et al. in IEEE Trans Cybern 51:4414–4428, 2020).

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Adaptive Homophily Clustering for Hyperspectral Image

  • Yao Ding,
  • Zhili Zhang,
  • Haojie Hu,
  • Renxiang Guan,
  • Jie Feng,
  • Zhiyong Lv

摘要

Hyperspectral image (HSI) has the distinct advantage of obtaining continuous spectral details about target objects. Due to this, it has found extensive applications across a wide range of fields (Peng et al. in IEEE Trans Geosci Remote Sens 57:1183–1194, 2018; Peng et al. in IEEE Trans Neural Netw Learn Syst 30:1790–1802, 2018). These include earth observation (Lv et al., IEEE Geosci Remote Sens Lett 20:1–5, 2023), environmental monitoring (Lv et al. in IEEE Trans Geosci Remote Sens 61:1–15, 2023), military detection (Feng et al. in IEEE Trans Geosci Remote Sens 61:1–20, 2022), and resource exploration (Feng et al. in IEEE Trans Cybern 51:4414–4428, 2020).