PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices

S
SYNASC
2006
Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06)
Abstract - PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices

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Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06)

Timisoara, Romania

September 26-September 29

ISBN: 0-7695-2740-X

	ASCII Text	x
	Cornelia Melenti, Daniel Safta, Dorian Gorgan, "PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 279-288, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006.

	BibTex	x
	@article{ 10.1109/SYNASC.2006.60, author = {Cornelia Melenti and Daniel Safta and Dorian Gorgan}, title = {PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices}, journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on}, volume = {0}, year = {2006}, isbn = {0-7695-2740-X}, pages = {279-288}, doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.60}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on TI - PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices SN - 0-7695-2740-X SP279 EP288 A1 - Cornelia Melenti, A1 - Daniel Safta, A1 - Dorian Gorgan, PY - 2006 KW - null VL - 0 JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on ER -

Cornelia Melenti, Technical University of Cluj-Napoca, Romania

Daniel Safta, Technical University of Cluj-Napoca, Romania

Dorian Gorgan, Technical University of Cluj-Napoca, Romania

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.60

This paper approaches the opportunity of the use of medium and high spatial resolution satellite images for the study of the extent and structure of the vegetation cover for a certain geographic area.

A computerized system for the classification of vegetation was created based on vegetation indices determined from various combinations of spectral bands from high resolution multispectral satellite images. The comparative study and analysis of vegetation indices in a given image, the acquirement of statistical data and their export to a database are reported.

Citation:

Cornelia Melenti, Daniel Safta, Dorian Gorgan, "PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices," synasc, pp.279-288, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006

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