Deteksi Tumpahan Minyak Menggunakan Citra MODIS dengan Thresholding Optimal

Main Article Content

M Irsyad Awaludin

Abstract

Setiap tahun, jutaan galon minyak mengalir ke lautan. Tumpahan minyak harus ditemukan dan dikenali secepat mungkin untuk melakukan kegiatan pemulihan laut yang hemat biaya. Teknologi Pemrosesan Citra Satelit menghadirkan metode pendeteksian tumpahan minyak untuk mengatasi polusi yang melanggar hukum ini. Studi ini menyajikan pendekatan baru untuk deteksi dini tumpahan minyak yang disebabkan oleh sumber stasioner lepas pantai. Hasilnya dicapai setelah mempelajari data yang diperoleh oleh sensor optik pasif seperti Moderate Resolution Imaging Spectroradiometer (MODIS). Skema pemrosesan yang ditetapkan terdiri dari tiga pendekatan untuk Thresholding optimal gambar MODIS: Thresholding-By Index, By Value, dan By Function, diikuti dengan integrasi semua algoritma untuk mendeteksi potensi tumpahan minyak. Kesamaan dan karakteristik tumpahan minyak dipisahkan melalui segmentasi dalam persiapan ekstraksi tumpahan minyak. Metode empiris baru ini, Thresholding - By Index, By Value, By Function, divalidasi berdasarkan perbedaan antara warna RGB gambar dan nilai ambangnya. Menggunakan Metodologi Deteksi Tepi, juga memungkinkan untuk mengidentifikasi perubahan tekstur unik antara tumpahan minyak dan fitur lainnya, yang menghasilkan penurunan positif palsu. Efektivitas algoritma yang dirancang untuk identifikasi dan pemantauan tumpahan minyak waktu nyata juga diperiksa secara eksperimental melalui pengembangan laporan dengan akurasi 93%.

Article Details

How to Cite
[1]
M. I. Awaludin, “Deteksi Tumpahan Minyak Menggunakan Citra MODIS dengan Thresholding Optimal”, Fidelity, vol. 4, no. 2, pp. 35-39, May 2022.
Section
Articles
Received 2022-03-27
Accepted 2022-04-16
Published 2022-05-31

References

Giacomo De Carolis, Maria Adamo, and Guido Pasquariello, "On the Estimation of Thickness of Marine Oil SlicksFrom Sun-Glittered, Near-Infrared MERIS andMODIS Imagery: The Lebanon Oil Spill Case Study",IEEE Transactions on Geoscience and Remote Sensing Vol. 52, No. 1, Jan 2014.



Suman Singha, Tim J. Bellerby, and Olaf Trieschmann, "Satellite Oil Spill Detection Using Artificial Neural Networks", IEEE Journal of Selected Topics in applied Earth Observations and Remote Sensing, Vol. 6, No. 6, Dec 2013.



Singha, S. Dept. of Geogr., Univ. of Hull, Kingston upon Hull, UK Bellerby, T.J.;Trieschmann, O."Detection and classification of oil spill and look-alike spots from SAR imagery using an Artificial Neural Network", Geosciences and Remote Sensing Symposium (IGARSS), 2012 IEEE International, July 2012.



Bulgarelli, B. Joint Res. Centre of the Eur. Comm., Ispra, Italy Djavidnia, S."On MODIS Retrieval of Oil Spill Spectral Properties in the Marine Environment", Geoscience and Remote Sensing Letters, IEEE (Volume:9 , Issue: 3 ), May 2012.



De Carolis, G. Inst. for Electromagn. Sensing of the Environ., Milan, Italy Adamo, M. ; Pasquariello, G. "Thickness estimation of marine oil slicks with near-infrared MERIS and MODIS imagery" The Lebanon oil spill case study, Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, July 2012.



Solberg, A.H.S. Dept. of Inf., Univ. of Oslo, Oslo, Norway, "Remote Sensing of Ocean Oil-Spill Pollution", Proceedings of the IEEE (Volume: 100, Issue: 10), Oct. 2012.



R. R. Ganta, S. Zaheeruddin, N. Baddiri, and R. R. Rao, "Segmentation of oil spill images with illumination-reflectance based adaptive level set model," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 5, pp. 1394–1402, 2012.



Hua Bo Dept. of Electr. & Comput. Eng., Shanghai Maritime Univ., Shanghai, China Jun Zhang ; Xiaofeng Wang, "Improving Spectral Clustering Algorithm Based SAR Spill Oil Image Segmentation", Network Computing and Information Security (NCIS), 2011 International Conference on (Volume:2 ), May 2011.



Zhang Yongzhi Li Hujun ; Xiao, Wang ; Wu Dan, "Edge Extraction of Marine Oil Spill in SAR Images", Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on (Volume:1 ), March 2010.



Kang Xiao State Key Lab. of Marine Geol., Tongji Univ., Shanghai, China Huiping Xu, "Detection of Oil Spill in Mexico Gulf Based on MODIS Data", Multimedia Technology (ICMT), 2010 International Conference, Oct. 2010.



Del Frate, F. Dipt. diInformaticaSistemi e Produzione, Tor Vergata Univ., Rome, Italy Salvatori, L.,"Oil spill detection by means of neural networks algorithms: a sensitivity analysis, Geoscience and Remote Sensing Symposium", IEEE International (Volume:2 ), Sept. 2004.



M. Pathegama and Ö. Göl, "Edge-end pixel extraction for edge-based image segmentation", Trans.on Engg., Computing and Technology, Vol. 2, pp. 213- 216, 2004.



A. Solberg, G. Storvik, R. Solberg, and E. Volden, "Automatic detection of oil spills in ERS SAR images," IEEE Trans. Geosci. Remote Sens., vol. 4, pp. 1916–1924., 1999.



M. F. Fingas and C. E. Brown, "Review of oil spill remote sensing", Spill Sci. Technol. Bull., vol. 4, no. 4, pp. 199–208, 1997.