Storm Detection Application on Satellite Image Using the Hough Circle Method Based on Digital Image Processing


Aplikasi Deteksi Badai pada Citra Satelit Menggunakan Metode Hough Circle Berbasis Pengolahan Citra Digital


  • (1) * Bayu Charisma Putra            

  • (2)  Reza Augusta Jannatul Firdaus            Program Studi Teknik Informatika, Fakultas Teknik, Universitas Maarif Hasyim Latif  
            Indonesia
    (*) Corresponding Author

DOI: https://doi.org/10.21070/jicte.v4i2.1018

Abstract

Image processing is the process of taking information from an image, either in the form of a frame or video (a set of frames). In general, this information is used for specific purposes, such as counting, identifying and classifying objects. Image processing can consist of 1 or more processes, examples of these processes are filtering, smoothing, background subtraction and so on. This research will discuss an image processing for storm detection on satellite images using pattern recognition. The research object of this case is a storm that will be recognized from a satellite image recording. The satellite imagery referred to here is obtained from several sites. The stages of image processing are carried out, among others, the first is the extraction of frames from the video. Then the frame in the form of an RGB image is converted into a grayscale image. The next process is smoothing which aims to minimize noise so that the information obtained is more accurate. The last stage is the process of object detection using pattern recognition. The recognized pattern is a pattern based on the video which has a shape resembling a circle and is dominated by white. A pattern that is recognized as a potential storm will be marked with a certain marker shape. The detected storm information will be shared with all users. Applications made on the android smartphone platform with the java programming language. After the application is successfully made, the level of accuracy will be analyzed and calculated.

References

[1] Hoque, Muhammad Al-Amin, et all. 2017. “A systematic review of tropical cyclone disaster management research using remote sensing and spatial analysis”. Ocean & Coastal Management 146 (2017) 109-120.
[2] Knutson, Thomas R., et all. 2010. “Tropical Cyclones and Climate Change”. Journal of Natural Geoscience, Volume 3.
[3] Kovordányi Rita and Roy Chandan. 2009.”Cyclone Track Forecasting Based on Satellite Images Using Artificial Neural Networks”. ISPRS journal of photogrammetry and remote sensing (Print), (64), 6, 513-521.
[4] Purwa, Cahya U., & Firdausy, Kartika. 2019. Pengolahan Citra menggunakan Metode Otsu dan Hough Circle Transform untuk Prototipe Alat Sortir Buah Apel. Seminar Nasional Aplikasi Teknologi Informasi (SNATi) - 2019 - ISSN:1907–5022 - Yogyakarta
[5] Putra, Bayu C., & Afifah, Nur Yunita. (2018). Gaussian Mixture Model Untuk Penghitungan Tingkat Kebersihan Sungai Berbasis Pengolahan Citra. Engineering and Sains Journal, Volume 2, Nomor 1, Juni 2018, 53-58.
[6] Putra, Bayu C., dkk. (2018). Moving Vehicle Classification Using Pixel Quantity Based on Gaussian Mixture Models. 2018 3rd International Conference on Computer and Communication Systems IEEE.
[7] Wahyudi, Erwin., dkk. (2015). IDENTIFIKASI TEKS DOKUMEN MENGGUNAKAN METODE PROFILE PROJECTION DAN TEMPLATE MATCHING. Jurnal Coding, Sistem Komputer Untan Volume 03, No.2 (2015), hal. 1-10 ISSN : 2338-493x
Picture in here are illustration from public domain image (License) or provided by the author, as part of their works
Published
2020-10-29
 
Issue
Vol 4 No 2 (2020): October
Section
Articles

Copyright (c) 2020 Bayu Charisma Putra, Reza Augusta Jannatul Firdaus

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.