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APPLICATION OF SEATH ALGORITHM ON HIGH RESOLUTION DATA SETS OF SELECTED CITIES

Pour, Tomas, Burian, Jaroslav, Mirijovsky, Jakub

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b21/s08.073View metrics

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Title
APPLICATION OF SEATH ALGORITHM ON HIGH RESOLUTION DATA SETS OF SELECTED CITIES
Authors
Pour, Tomas, Burian, Jaroslav, Mirijovsky, Jakub
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
585-592
ISSN
1314-2704
ISBN
978-619-7105-58-2
Language
en
Publication type
Conference Paper
References22

  1. Burian, J., Possibilities of The Definition of City Boundaries in Gis: The Case Study of a Medium-Sized City, 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, 2014.

  2. Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Queiroz Feitosa, R., van der Meer, F., van der Werff, H., van Coillie, F. and Tiede, D., Geographic Object-Based Image Analysis – Towards a new paradigm. In: ISPRS Journal of Photogrammetry and Remote Sensing Vol. 87, p. 180-191, 2014.

  3. Novack, T., Esch, T., Kux, H. and Stilla, U., Machine Learning Comparison between WorldView-2 and QuickBird-2 -Simulated Imagery Regarding Object-Based 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016 Urban Land Cover Classification. In: Remote Sensing Vol. 3, no. 12, p. 2263 -2282, 2011.

  4. Nussbaum, S., Niemeyer, I. And Canty, M.J., Seath - A New Tool for Automated Feature Extraction in The Context of Object-Based Image Analysis, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XXXVI-4/C42, 2006.

  5. Aleksandrowicz, S., Turlej, K., Lew iński, S. and Bochenek, Z. , Change Detection Algorithm for the Production of Land Cover Change Maps over the European Union Countries. In: Remote Sensing, Vol. 6, no. 7, p. 5976 -5994, 2014.

  6. Gao, Y., Mas, J., Niemeyer, I., Marpu, P. and Palacio, J. , Object-Based Image Analysis for Mapping Land-Cover in a Forest Area, International Symposium for Spatial Date Quality Enschede, Netherlands, 2007.

  7. Du, P., Liu, P., Xia, J., Feng, L., Liu, S., Tan, K. and Cheng, L., Remote Sensing Image Interpretation for Urban Environment Analysis: Methods, System and Examples. In: Remote Sensing, vol. 6, no. 10, p. 9458-9474, 2014.

  8. Drăguţ L., Csillika O., Eisankb C., Tiede D., Automated Parameterisation for Multi- Scale Image Segmentation on Multiple Layers, ISPRS Journal of the Photogrammetry and Remote Sensing, Vol. 88, 2014.

  9. Blaschke, T., Lang, S., Lorup, E., Strobl, J., Zeil, P., Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications, EnviroInfo 2000: Umweltinformatik für Planung, Politik und Öffentlichkeit, 2000.

  10. Blaschke, T., Lang, S., Hay, G., Obj ect-based image analysis: spatial concepts for knowledge-driven remote sensing applications, 2008.

  11. Blaschke, T., Object based image analysis for remote sensing, ISPRS journal of photogrammetry and remote sensing, Vol.65, p. 2-16, 2010. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  12. Burian, J., Possibilities of The Definition of City Boundaries in Gis: The Case Study of a Medium-Sized City, 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, 2014.

  13. Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., Queiroz Feitosa, R., van der Meer, F., van der Werff, H., van Coillie, F. and Tiede, D., Geographic Object-Based Image Analysis – Towards a new paradigm. In: ISPRS Journal of Photogrammetry and Remote Sensing Vol. 87, p. 180-191, 2014.

  14. Novack, T., Esch, T., Kux, H. and Stilla, U., Machine Learning Comparison between WorldView-2 and QuickBird-2 -Simulated Imagery Regarding Object-Based 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org 16th International Multidisciplinary Scientific GeoConference SGEM 2016 Urban Land Cover Classification. In: Remote Sensing Vol. 3, no. 12, p. 2263 -2282, 2011.

  15. Nussbaum, S., Niemeyer, I. And Canty, M.J., Seath - A New Tool for Automated Feature Extraction in The Context of Object-Based Image Analysis, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. XXXVI-4/C42, 2006.

  16. Aleksandrowicz, S., Turlej, K., Lew iński, S. and Bochenek, Z. , Change Detection Algorithm for the Production of Land Cover Change Maps over the European Union Countries. In: Remote Sensing, Vol. 6, no. 7, p. 5976 -5994, 2014.

  17. Gao, Y., Mas, J., Niemeyer, I., Marpu, P. and Palacio, J. , Object-Based Image Analysis for Mapping Land-Cover in a Forest Area, International Symposium for Spatial Date Quality Enschede, Netherlands, 2007.

  18. Du, P., Liu, P., Xia, J., Feng, L., Liu, S., Tan, K. and Cheng, L., Remote Sensing Image Interpretation for Urban Environment Analysis: Methods, System and Examples. In: Remote Sensing, vol. 6, no. 10, p. 9458-9474, 2014.

  19. Drăguţ L., Csillika O., Eisankb C., Tiede D., Automated Parameterisation for Multi- Scale Image Segmentation on Multiple Layers, ISPRS Journal of the Photogrammetry and Remote Sensing, Vol. 88, 2014.

  20. Blaschke, T., Lang, S., Lorup, E., Strobl, J., Zeil, P., Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications, EnviroInfo 2000: Umweltinformatik für Planung, Politik und Öffentlichkeit, 2000.

  21. Blaschke, T., Lang, S., Hay, G., Obj ect-based image analysis: spatial concepts for knowledge-driven remote sensing applications, 2008.

  22. Blaschke, T., Object based image analysis for remote sensing, ISPRS journal of photogrammetry and remote sensing, Vol.65, p. 2-16, 2010. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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