Deteksi Tumpahan Minyak Menggunakan Citra MODIS dengan Thresholding Optimal
Main Article Content
Abstract
Article Details
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with FIDELITY : Jurnal Teknik Elektro agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Jurnal FIDELITY : Jurnal Teknik Elektro is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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.