Deep learning approach for large scale land cover mapping based on remote sensing data fusion

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2016-November, Issue , 2016, Pages 198-201

  Kussul, Nataliia ^a,b   Shelestov, Andrii ^a,b   Lavreniuk, Mykola ^a   Butko, Igor ^a   Skakun, Sergii ^c  

^a INSTITUTE OF HYDROBIOLOGY   (Ukraine)

^b NATIONAL TECHNICAL UNIVERSITY OF UKRAINE   (Ukraine)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

big data; Deep learning; geospatial analysis; Landsat; neural network; remote sensing data

Indexed keywords

EID: 85007439465     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7729043     Document Type: Conference Paper

References (20)

1. Y. Ma, H. Wu, L. Wang, B. Huang, R. Ranjan, A. Zomaya, and W. Jie, "Remote sensing big data computing: Challenges and opportunities, " Future Generation Computer Systems, 51, pp. 47-60, 2015.
2. Y. Ma, L. Wang, P. Liu, and R. Ranjan, "Towards building a data-intensive index for big data computing-A case study of Remote Sensing data processing, " Information Sciences, 319, pp. 171-188, 2015.
3. N. Kussul, A. Shelestov, R. Basarab, S. Skakun, O. Kussul, and M. Lavreniuk, "Geospatial intelligence and data fusion techniques for sustainable development problems, " CEUR Workshop Proceedings, 1356, pp. 196-203, 2015.
4. C. A. Mattmann, "Computing: A vision for data science, " Nature, 493 (7433), pp. 473-475, 2013.
5. Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning, " Nature, 521 (7553), pp. 436-444, 2015.
6. M. Lavreniuk, N. Kussul, S. Skakun, A. Shelestov, and B. Yailymov, "Regional retrospective high resolution land cover for Ukraine: methodology and results, " In 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3965-3968, 2015.
7. I. Becker-Reshef, C. Justice, M. Sullivan, E. Vermote, C. Tucker, A. Anyamba, J. Small, E. Pak, E. Masuoka, J. Schmaltz, M. Hansen, K. Pittman, C. Birkett, D. Williams, C. Reynolds, and B. Doorn, "Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project, " Remote Sensing, vol. 2, pp. 1589-1609, 2010.
8. N. Kussul, S. Skakun, A. Shelestov, and O. Kussul, "The use of satellite SAR imagery to crop classification in Ukraine within JECAM project, " in: IGARSS 2014, 13-18 July 2014, pp. 1497-1500, 2014.
9. N. Kussul, S. Skakun, A. Shelestov, O. Kravchenko, J. F. Gallego, and O. Kussul, "Crop area estimation in Ukraine using satellite data within the MARS project, " in: IGARSS 2012, 22-27 July 2012, Munich, Germany, pp. 3756-3759.
10. R. Agarwal, P. Ranjan, and H. Chipman, "A new Bayesian ensemble of trees approach for land cover classification of satellite imagery, " Canadian Journal of Remote Sensing, vol. 39, no. 6, pp. 507-520, 2014.
11. S. Skakun, N. Kussul, A. Shelestov, M. Lavreniuk, and O. Kussul, "Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine, " in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, doi: 10. 1109/JSTARS. 2015. 2454297.
12. G. M. Bakan, and N. N. Kussul, "Fuzzy ellipsoidal filtering algorithm of static object state, " Problemy Upravleniya I Informatiki (Avtomatika), no. 5, pp. 77-92, 1996.
13. N. Kussul, G. Lemoine, J. Gallego, S. Skakun, and M. Lavreniuk, "Parcel based classification for agricultural mapping and monitoring using multi-temporal satellite image sequences, " In 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 165-168, 2015.
14. F. J. Gallego, N. Kussul, S. Skakun, O. Kravchenko, A. Shelestov, and O. Kussul, "Efficiency assessment of using satellite data for crop area estimation in Ukraine, " Int. J. Appl. Earth Observ. Geoinf., vol. 29, pp. 22-30, 2014.
15. D. Guha-Sapir, F. Vos, R. Below, and S. Ponserre, "Annual Disaster Statistical Review 2011: The Numbers and Trends, " Brussels: Centre for Research on the Epidemiology of Disasters (CRED), 2012.
16. S. Skakun, N. Kussul, A. Shelestov, and O. Kussul, "The use of satellite data for agriculture drought risk quantification in Ukraine, " Geomatics, Natural Hazards and Risk, 2015, doi: 10. 1080/19475705. 2015. 1016555.
17. S. Skakun, N. Kussul, A. Shelestov, and O. Kussul, "Flood Hazard and Flood Risk Assessment Using a Time Series of Satellite Images: A Case Study in Namibia, " Risk Anal., vol. 34, no. 8, pp. 1521-1537, 2014.
18. A. Yu. Shelestov, A. N. Kravchenko, S. V Skakun, S. V. Voloshin, and N. N. Kussul, "Geospatial information system for agricultural monitoring, " Cybernetics Syst. Anal., vol. 49, no. 1, pp. 124-132, 2013.
19. N. Kussul, A. Shelestov and S. Skakun, "Grid and sensor web technologies for environmental monitoring, " Earth Science Informatics, vol. 2, no. 1-2, pp. 37-51, 2009.
20. A. Shelestov, N. Kussul, and S. Skakun, "Grid technologies in monitoring systems based on satellite data, " Journal of Automation and Information Sciences, vol. 38, no. 3, pp. 69-80, 2006.