A Comprehensive Survey on Framework for Satellite Image Processing

  • Unique Paper ID: 198433
  • Volume: 12
  • Issue: 11
  • PageNo: 9999-10012
  • Abstract:
  • As water and land boundaries are always changing, it's more important than ever to be able to correctly classify field as well as territorial limits. Changes in administrative borders, plant life, and water systems are common on historical maps, so it's important to use reliable tools to find these changes. Satellite imagery has become a principal resource for observing these changes, highlighting the necessity for an in-depth comprehension of satellite processing images methodologies when handling historical cartographic data. This study provides a comprehensive assessment of the advantages and drawbacks of various image processing methodologies employed in this field. There are many different computational methods, but their effectiveness depends a lot on the type of images and the needs of each application. Choosing the wrong method can lead to less-than-ideal results, which shows how important it is to make sure that your methodological choices match the goals of the analysis. This paper describes the processing procedures and satellite communication imaging methods that are appropriate for different situations. Also, comparative evaluations are done to show how different methods work in different situations. This synthesis aims to facilitate the creation of informed and creative approaches to the prevalent challenges faced in satellite-based applications for image processing.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{198433,
        author = {Yogesh S. Sirsath and Dr.Ashwini S. Gaikwad and Prachi D. Waghmare and Shubhangi B. Gaikwad},
        title = {A Comprehensive Survey on Framework for Satellite Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {9999-10012},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198433},
        abstract = {As water and land boundaries are always changing, it's more important than ever to be able to correctly classify field as well as territorial limits. Changes in administrative borders, plant life, and water systems are common on historical maps, so it's important to use reliable tools to find these changes. Satellite imagery has become a principal resource for observing these changes, highlighting the necessity for an in-depth comprehension of satellite processing images methodologies when handling historical cartographic data. This study provides a comprehensive assessment of the advantages and drawbacks of various image processing methodologies employed in this field. There are many different computational methods, but their effectiveness depends a lot on the type of images and the needs of each application. Choosing the wrong method can lead to less-than-ideal results, which shows how important it is to make sure that your methodological choices match the goals of the analysis. This paper describes the processing procedures and satellite communication imaging methods that are appropriate for different situations. Also, comparative evaluations are done to show how different methods work in different situations. This synthesis aims to facilitate the creation of informed and creative approaches to the prevalent challenges faced in satellite-based applications for image processing.},
        keywords = {remote sensing; change detection; fusion; feature extraction; segmentation; classification},
        month = {April},
        }

Cite This Article

Sirsath, Y. S., & Gaikwad, D. S., & Waghmare, P. D., & Gaikwad, S. B. (2026). A Comprehensive Survey on Framework for Satellite Image Processing. International Journal of Innovative Research in Technology (IJIRT), 12(11), 9999–10012.

Related Articles