Deep feature extraction and feature fusion for bi-temporal satellite image classi

HIGHLIGHTS

  • who: Tech Science Press and colleagues from the Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India Department of Computer, Alexandru Ioan Cuza University of lau015fi, lau015fi, Romania have published the paper: Deep Feature Extraction and Feature Fusion for Bi-Temporal Satellite Image Classi, in the Journal: (JOURNAL)
  • what: The aim of fusion is combining the information from different source images into a single image. The authors propose a CNN based feature fusion technique to address the misclassification errors and mixed pixel issues associated with change detection. In CVA, the main reason for . . .

     

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