Habitat mapping using machine learning-extended kernel-based reclassification of an Ikonos satellite image

Ecological Modelling

Volumn 191, Issue 1, 2006, Pages 83-95

  Kobler, Andrej ^a   Džeroski, Sašo ^b   Keramitsoglou, Iphigenia ^c  

^a SLOVENIAN FORESTRY INSTITUTE   (Slovenia)

^b JO EF STEFAN INSTITUTE   (Slovenia)

^c UNIVERSITY OF ATHENS   (Greece)

Author keywords

Classification; Habitat mapping; Satellite imagery

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; SATELLITES;

CLASSIFICATION; HABITAT MAPPING; SATELLITE IMAGERY;

MAPPING;

ECOLOGICAL MODELING; HABITAT; MAPPING; SATELLITE IMAGERY;

EID: 28344458094     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.08.002     Document Type: Conference Paper

References (11)

1. M.J. Barnsely, and S.L. Barr Inferring urban land use from satellite sensor images using kernel-based spatial re-classification Photogrammetric Eng. Remote Sensing 62 8 1996 949 958
2. M. Bock, P. Xofis, G. Rossner, M. Wissen, and J. Mitchley Object oriented methods for habitat mapping in multiple scales: case studies from Northern Germany and North Downs, GB J. Nat. Conserv. 13 2005 75 90
3. EEA, European Environmental Agency, 2002. EUNIS Habitat classification web application. Electronic Source: http://mrw.wallonie.be/dgrne/sibw/EUNIS/ home.html
4. P. Gong, D.J. Marceau, and P.J. Howarth A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data Rem. Sens. Environ. 40 2 1992 137 151
5. R.M. Haralick, K. Shanmugan, and I. Dinstein Textural features for image classification IEEE Trans. Syst. Man Cyber. SMC-3 November (6) 1973 610 621
6. I. Keramitsoglou, C. Kontoes, N. Sifakis, J. Mitchley, and P. Xofis Kernel based re-classification of earth observation data for fine scale habitat mapping J. Nat. Conserv. 13 2005 91 100
7. I. Keramitsoglou, H. Kontoes, P. Elias, N. Sifakis, E. Fitoka, and S. Weiers Kernel-based re-classification algorithm applied on very high spatial resolution satellite imagery of complex ecosystems Proceedings of the 10th International Symposium of Remote Sensing, Remote Sensing for Agriculture, Ecosystems and Hydrology V, vol. 5232 8-10 September 2003. Barcelona, Spain 2003 276 283
8. C.C. Kontoes, V. Raptis, M. Lautner, and R. Oberstadler The potential of kernel classification techniques for land use mapping in urban areas using 5 m-spatial resolution IRS-1C imagery Int. J. Remote Sensing 21 16 2000 3145 3151
9. T.M. Lillesand, and R.W. Kiefer Remote Sensing and Image Interpretation 1994 John Wiley & Sons New York p. 616
10. Richards, J.A., Jia, X., 1999. Remote Sensing Digital Image Analysis: An Introduction, third, revised and enlarged ed. Springer-Verlag, 363 pp.
11. J.T. Tou, and R.C. Gonzales Pattern Recognition Principles 1974 Addison-Wesley Publishing Co. Reading, Massachusetts