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Real-time image processing method to implement object detection and classification for remote sensing images

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Abstract

The huge amount of active research has been focused on developing the remote sensing based applications for providing the object classification procedure focusing on the energy reflected on the earth surface, the remote sensor collects data and its management with analysis of all kinds of spatial information with enhanced accuracy. This paper proposes the Real-time Image processing method to implement the object classification and detection (RTIP-ODC) technique for remote sensing images. The enhanced feature extraction procedure likes preprocessing, object detection, classification and validation will improve the efficiency of the proposed technique. The classification method facilitates the user to preserve the process of object classification and enhances the accurate object detection. The proposed technique has obtained the enhanced performance to ensure the efficiency of the object classification compared to the related techniques.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, India

    Joshua Bapu J

  2. Department of Computer Science and Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, India

    D. Jemi Florinabel

Authors
  1. Joshua Bapu J
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  2. D. Jemi Florinabel
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Correspondence to Joshua Bapu J.

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Communicated by: H. Babaie

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J, J., Florinabel, D. Real-time image processing method to implement object detection and classification for remote sensing images. Earth Sci Inform 13, 1065–1077 (2020). https://doi.org/10.1007/s12145-020-00486-1

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