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
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;
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
DOI :
10.1109/SYNASC.2006.60
