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Cited by 45Remote-Sensing Image ClassificationSatellite Image Processing and PhotogrammetryImage and Signal Denoising Methods

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Machine Learning based Image Processing Techniques for Satellite Image Analysis -A Survey

Asokan, Anju, Anitha, J·2019·2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)
DOI 10.1109/comitcon.2019.8862452
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Abstract

This paper presents the detailed comparison of various image processing techniques for analyzing satellite images. The satellite images are large in size, acquired from long distances and are affected by noise and other environmental conditions. Hence it is necessary to process them so that they can be used by the researchers for analysis. Satellite images are widely used in many real time applications such as in agriculture land detection, navigation and in geographical information systems. In this paper, a review of some popular machine learning based image processing techniques is presented. Also a detailed comparison of various techniques is performed. Limitations in each image processing method are also described. In addition to reviewing of different methods, different metrics for performance evaluation in each of the image processing areas is studied.

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Research works printed but not linked: 25

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Metadata

Authors
Asokan, A., & Anitha, J.
Affiliations
Karunya University (IN)
ORCID
Venue
2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)
Publisher
IEEE
Published
2019-02
Pages
119-124
DOI
10.1109/comitcon.2019.8862452
OpenAlex
W2979785627
Cited by
45
References
0
Citations by year
2026: 1 · 2025: 6 · 2024: 8 · 2023: 5 · 2022: 10 · 2021: 8 · 2020: 7
FWCI
10.03
Type
conference paper
Language
en
Open access
closed
Licence
Locations
International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Remote-Sensing Image Classification
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Satellite Image Processing and Photogrammetry
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
Keywords
satellite image analysis, machine learning image processing, image denoising, image segmentation, performance indicators, remote sensing

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CoChat. (2026). Citation check: Machine Learning based Image Processing Techniques for Satellite Image Analysis -A Survey. https://app.cochat.ai/papers/10.1109/comitcon.2019.8862452
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Asokan, A., & Anitha, J. (2019). Machine Learning based Image Processing Techniques for Satellite Image Analysis -A Survey. 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon). https://doi.org/10.1109/comitcon.2019.8862452