Mima: mapper-induced manifold alignment for semi-supervised fusion of optical image and polarimetric sar data

HIGHLIGHTS

• who: - Hyperspectral image and colleagues from the (UNIVERSITY) have published the article: MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data, in the Journal: (JOURNAL) of 11,/Nov/2019
• what: The authors explore the potential of SSMA in fusing optical and synthetic aperture radar (SAR) which are multi-sensory sources. The authors propose a MAPPER-induced manifold alignment (MIMA) for the semi-supervised fusion of multi-sensory sources. 11, NOVEMBER 2019 accomplish the fusion by using the labeled data and have similar performance in the experiment of LCLU . . .
  

   

  

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