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A Review of Multi-resolution Analysis (MRA) and Multi-geometric Analysis (MGA) Tools Used in the Fusion of Remote Sensing Images

  • P. Mangalraj*
  • , V. Sivakumar
  • , S. Karthick
  • , V. Haribaabu
  • , S. Ramraj
  • , Dinesh Jackson Samuel
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The availability of multi-sensor and multi-resolution images obtained through earth observation satellites has given rise to a greater need for fusion technology. Fusion can provide comprehensive information about a particular scene or area by bringing the information of two or more images into a single plane. The technique has been in use for the past three decades, and several methodologies have been introduced in the literature. However, with the invention of new sensors and technology, the number of challenges has increased. While several review and survey papers have explored different aspects of fusion, this paper provides a comprehensive discussion of the tools available and the implications of their use for the fusion of remote sensing images. Tools based on multi-resolution analysis (MRA) and multi-geometric analysis (MGA) are widely used in the field of image fusion. We provide a detailed study of MRA- and MGA-based tools, their effectiveness, and the impacts of the corresponding fusion schema in retaining the desired information.

    Original languageEnglish
    Pages (from-to)3145-3172
    Number of pages28
    JournalCircuits, Systems, and Signal Processing
    Volume39
    Issue number6
    DOIs
    Publication statusPublished - 01-06-2020

    All Science Journal Classification (ASJC) codes

    • Signal Processing
    • Applied Mathematics

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