Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Székely, B. (eds.): ISPRS ТС VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
67 
ACKNOWLEDGEMENTS 
The authors are thankful to Forest Institute of Minas Gerais 
(http://www.meioambiente.mg.gov.br) for providing the Ikonos 
image and field work support, particularly José Medina da 
Fonseca and Célio Murilo de Carvalho Valle. The authors are 
also thankful to the Botanical Taxonomy Laboratory of the 
Universidade Federal de Minas Gerais, especially to researchers 
Marco Otâvio Pivari and Pedro Lage Viana. 
Iran, 1971), (4 th Edition), Ramsar Convention Secretariat, 
Gland, Switzerland. 
(f) IDM 
(H) Ent 
(J)Corr. 
it ion results of texture 
ach feature processed 
bands. 
i 
ved to be suitable for 
ed in the classification 
tion images. Smaller 
classification, as well 
use of a single texture 
i bands was very 
ire Entropy combined 
ts for classification in 
ned the best results in 
Angular Momentum 
laller sizes. 
REFERENCES 
Biodiversitas, 2005. Biodiversidade emMinas Gerais: um atlas 
para sua conservado [Biodiversity in Minas Gerais: an 
atlas for its conservation] (Second Edition). Fundando 
Biodiversitas, Belo Horizonte, Brazil, 242p. 
Barbosa, I., P. Maillard and T. Alencar-Silva. 2009. Mapping 
wetlands variation using high resolution image in the 
pandeiros wildilife Sanctuary, Brazil. Proceeding of 30 th 
Canadian Symp. On Remote Sensing, Lethbridge, Canada. 
Clausi, D. A. (2000). Comparison and fusion of co-occurrence, 
Gabor and MRF texture features for classification of SAR sea- 
ice imagery. Atmosphere-Ocean 39(3), 183-194. 
Davis, P.A., M.I. Staid, J.B. Plescia and J.R. Johnson, 2002. 
Evaluation of airborne image data for mapping riparian 
vegetation within the grand canyon, Report 02-470, U.S. 
Geological Survey, Flagstaff, Arizona, 65p. 
Dechka J.A., Franklin S., Watmough M., Bennett R., and 
W.Ingstrup D., 2002. Classification of wetland habitat and 
vegetation communities using multi-temporal ikonos 
imagery in southern Saskatchewan. Canadian Journal of 
Remote Sensing 28(5) pp. 679-685. 
Franklin, S. E., 2001. Remote Sensing for Sustainable Forest 
Management. Boca Raton, FLA: Lewis Publishers. 
Haralick, R, 1979. Statistical and structural approaches to 
texture. The Institute of Electrical and Electronics 
Engineers, Inc., 67 (5), pp 786-804. 
Maillard, P. (2003). Comparing texture analysis methods 
through classification. Photogrammetric Engineering and 
Remote Sensing 69(4), 357-367. 
Maillard P., 1999. Texture in High Resolution Digital Images of 
The Earth. Department of Geographical Sciences and 
planning, University of Queensland, Australia. PP. 328. 
Melack, J. M., 2004. Tropical freshwater wetlands. Manual of 
Remote Sensing for Natural Management and 
Environmental Monitoring (4 th Edition), John Wiley and 
Sons, Hoboken, New Jersey, pp. 319-343. 
Mitsch, W. J. and Gosselind J. G., 2007. Wetlands (4 th Edition). 
John Wiley and Sons Inc., Hoboken, New Jersey, pp 582 
National Wetlands Working Group, 1997. The Canadian 
Wetland Classification System (2 nd Edition), University of 
Waterloo, Waterloo, Ontario, Canada pp. 68. 
Ramsar Convention Secretariat, 2006. The Ramsar convention 
Manual: a guide to the Convention on Wetlands (Ramsar,
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.