Curriculum Vitae (1 April 2023)

PERSONAL DETAILS

• FAMILY NAME: ITO
• PERSONAL NAME: YOSUKE
• SEX: Male
• OCCUPATION: Professor
• TELEPHONE: +81-88-687-6553
• E-MAIL:
• NATIONALITY: Japanese
• LANGUAGES: Japanese, English

EDUCATION

• 1981-1985 B. E.
  • Department of Information Science, Faculty of Engineering, Tokushima University, Japan.
  • Subject: Development of Image Processing System.
• 1985-1987 M. E.
  • Graduate School of Engineering, Tokushima University, Japan.
  • Subject: Configuration of Distributed Database Systems.
• 1998 Ph. D.
  • College of Engineering, Osaka Prefecture University, Japan.
  • Subject: Remote Sensing Data Classification.

EMPLOYMENT

• 1987-1991 Researcher. Research & Development Centre, Brother Industries Ltd., Japan.
• 1992-1998 Lecturer. Department of Civil Engineering, Takamatsu National College of Technology, Japan.
• 1998-1999 Associate Professor. Department of Civil Engineering, Takamatsu National College of Technology, Japan.
• 1999 Academic Visitor. T H Huxley School of Environment, Earth Sciences and Engineering, Imperial College of Science, Technology and Medicine, U. K.
• 2000 Associate Professor. Department of Civil Engineering, Takamatsu National College of Technology, Japan.
• 2001 Associate Professor. Faculty of Health and Living Sciences Education (Industrial Arts), Naruto University of Education, Japan.
• 2008 Professor. Graduate School of Education, Health and Living Sciences Education (Technology and Information Education), Naruto University of Education, Japan.
• 2019 - Professor. Graduate School of Education, Natural and Living Sciences Education (Technology and Information), Naruto University of Education, Japan.

MEMBERSHIP

• IEEE, Geoscience and Remote Sensing Society (GRSS)
• The Institute of Electrical Engineers of Japan (IEEJ)
• Information Processing Society of Japan (IPSJ)
• The Remote Sensing Society of Japan (RSSJ)
• The Japan Society of Technology Education (JSTE)

RESEARCH INTERESTS

• Research interests include processing techniques for remote sensing data with my specialty as non-parametric classification algorithms using competitive neural networks for the multi-frequency, polarimetric and interferometric SAR data. The final goal of my research is to propose environmental investigation methods using remote sensing. Recently, I have focused on research for the development of information technology education using remote sensing.

PUBLICATIONS

1. Category classification using self-organization model, Proceedings of the 1994 International Symposium on Noise and Clutter Rejection in Radars and Imaging Sensors, pp.537-542, Kawasaki (Japan), Nov. 1994.
2. Category classification method using a self-organizing neural network, International Journal of Remote Sensing, Vol.18, No.4, pp.829-845, 1997.
3. Land cover mapping method for polarimetric SAR data, Proceedings of SPIE, Algorithms for Synthetic Aperture Radar Imagery IV, Vol.3070, pp.388-397, Orlando (USA), April 1997.
4. Polarimetric SAR data classification using scattering models and neural networks, Proceedings of SPIE, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, Vol.3217, pp.132-140, London (UK), Sept. 1997.
5. A polarimetric SAR data classification method using neural networks, 1998 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'98) Proceedings: Vol. IV , pp.1790-1792, Seattle (USA), July 1998.
6. Polarimetric SAR data classification using competitive neural networks, International Journal of Remote Sensing, Vo.19, No.14, pp.2665-2684, 1998.
7. Extended LVQ neural network approach to land cover mapping, IEEE Transactions on Geoscience and Remote Sensing, Vol.37, No.1, pp.313-317, 1999.
8. A remote sensing data classification method using self-organizing map, 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) Proceedings: Vol.III, pp.1606-1608, Hamburg (Germany), July 1999.
9. Information Processing for Remote Sensing, pp.237-262, World Scientific Publishing (Singapore), 1999.
10. Extraction of damaged regions using SAR data and neural networks, XIXth International Society for Photogrammetry & Remote Sensing (ISPRS) Congress 2000, International Archives of Photogrammetry and Remote Sensing, Vol.XXXIII, Part B1, pp.156-163, Amsterdam (Netherlands), July 2000.
11. Damage estimation model using temporal coherence ratio, 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) Proceedings, Vol.V, pp.2859-2861, Toronto (Canada), June 2002.
12. A degree-of-damage estimation model of earthquake damage using interferometric SAR data, Electrical Engineering in Japan, Vol.143, No.3, pp.49-57, March 2003.
13. A degree estimation model of earthquake damage using temporal coherence ratio, 2003 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2003) Proceedings, Vol.IV, pp.2410-2412, Toulouse (France), July 2003.
14. Extraction of maintenance information on irrigation ponds using polarimetric SAR data, 2005 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2005) Proceedings, Vol.I, pp.5663-5666, Seoul (Korea), July 2005.
15. Development of web-based SAR processor for education, 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2007) Proceedings, pp.2185-2187, Barcelona (Spain), July 2007.
16. Development of educational SAR processor using Ajax technology, The XXI Congress, The International Society for Photogrammetry and Remote Sensing (ISPRS 2008), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.XXXVII, Part B6a, pp.23-28, Beijing (China), July 2008.
17. Resolusion enhancement of SAR image using a multiframe super resolution technique, 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2009) Proceedings, Vol.IV, pp.446-449, Cape Town (South Africa), July 2009.
18. A web application with visual SAR processor for education, 2009 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2009) Proceedings, Vol.IV, pp.645-648, Cape Town (South Africa), July 2009.
19. Web application system with synthetic aperture radar image processing for education, Trans. on Electronics, Information and Systems, IEEJ, Vol.129-C, No. 9, pp.1759-1767, 2009 (in Japanese).
20. Development of a visual SAR processor and its calibration function, Proceedings of the 31st Asian Conference on Remote Sensing (ACRS 2010), CD-ROM, Hanoi (Vietnam), Nov. 2010.
21. Development of an educational SAR processor with ScanSAR image formation, Proceedings of the 32nd Asian Conference on Remote Sensing (ACRS 2011), CD-ROM, Taipei (Taiwan), Oct. 2011.
22. An iterative approach for estimation of the Doppler centroid frequency for SAR data processing, Proceedings of the 32nd Asian Conference on Remote Sensing (ACRS 2011), CD-ROM, Taipei (Taiwan), Oct. 2011.
23. ICT curriculum development for the training of technology education teachers, International Conference on Technology Education in the Pacific-Rim Countries (ICTE2011-Japan), pp.109-110, Nagoya (Japan), Nov. 2011.
24. Development and evaluation of technology education using Earth observation technique, The XXII Congress, The International Society for Photogrammetry and Remote Sensing (ISPRS2012), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.XXXIX-B6, pp.13-18, Melbourne (Australia), Aug. 2012.
25. Development of technology education using interferometric SAR processing, Proceedings of the 33rd Asian Conference on Remote Sensing (ACRS 2012), CD-ROM, Pattaya (Thailand), Nov. 2012.
26. Remote Sensing: An Introductory Textbook, pp.255-261, Maruzen Planet (Japan), Feb. 2013.
27. Development of technology eduation as a subject of interferometric SAR processing, Proceesings of the International Symposium on Remote Sensing 2013 (ISRS2013), Chiba (Japan), May 2013.
28. Interferometric SAR processing as a subject for technology education, Proceedings of the 34th Asian Conference on Remote Sensing (ACRS 2013), CD-ROM, SC08, pp.17-23, Bali (Indonesia), Oct. 2013.
29. Interferometric SAR processing as a subject for science and technology education, 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014) Proceedings, pp.4520-4523, Quebec City (Canada), July 2014, DOI:10.1109/IGARSS.2014.6947497
30. Development and evaluation of education program using interferometric SAR, Proceedings of the 36th Asian Conference on Remote Sensing (ACRS 2015), USB memory card, 9 pages, Manila (Philippines), Oct. 2015.
31. Development and evaluation of science and technology education program using interferometric SAR, The XXII Congress, The International Society for Photogrammetry and Remote Sensing (ISPRS2016), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol.XLI-B6, pp.123-129, Prague (Czech), July 2016, DOI:10.5194/isprs-archives-XLI-B6-123-2016
32. A distance educational support method for class with practical training using IoT, Proceedings of Technology Education New Zealand(TENZ) Conference and International Conference on Technology Education (ICTE), USB memory card，pp.82-89, Christchurch (New Zealand), Oct. 2017.
33. Practice and evaluation of science, technology and disaster prevention education using earth observation results, Proceedings of the 39th Asian Conference on Remote Sensing (ACRS2018), Online Stroage, pp.1835-1841, Kuala Lumpur (Malaysia), Oct. 2018.
34. Development of learning activity status recording system using the Internet of Things, Book of Abstracts, International Conference on Education and New Developments (END 2019), Volume I, pp.326-328, ISSN:2184-044X, ISBN:978-989-54312-5-0, Porto (Portugal), June 2019.
35. Trial classroom study on programming thinking in Japanese primary education, Proceedings of TENZ (Technology Education New Zealand) conference, pp.1-14, ISBN:978-0-473-50485-4, Auckland (New Zealand), Oct. 2019.
36. Trial practices of programming education using problem-solving strategy in elementary school, Journal of Technology and Engineering Education, Department of Technology Application and Human Resource Development, National Taiwan Normal University, DOI:10.6232/JTEE.202012_50(1/2).0002, Dec. 2020.
and Japanese papers and reports.