DocumentCode
3428299
Title
PIMS--Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices
Author
Melenti, Cornelia ; Safta, Daniel ; Gorgan, Dorian
Author_Institution
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca
fYear
2006
fDate
Sept. 2006
Firstpage
279
Lastpage
288
Abstract
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
Keywords
geographic information systems; image classification; vegetation; geographic area; multispectral image processing tool; multispectral satellite image; semantic information detection; vegetation indices; Geographic Information Systems; Image processing; Image sensors; Layout; Monitoring; Pixel; Satellite broadcasting; Soil; Spatial resolution; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing, 2006. SYNASC '06. Eighth International Symposium on
Conference_Location
Timisoara
Print_ISBN
0-7695-2740-X
Type
conf
DOI
10.1109/SYNASC.2006.60
Filename
4090331
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