基于植被指数语义信息检测的多光谱图像处理工具PIMS

2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing Pub Date : 2006-09-26 DOI:10.1109/SYNASC.2006.60

Cornelia Melenti, D. Safta, D. Gorgan

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引用次数: 5

摘要

本文探讨了利用中、高空间分辨率卫星图像研究某一地理区域植被覆盖范围和结构的可能性。基于从高分辨率多光谱卫星图像的各种光谱波段组合确定的植被指数，建立了一个计算机化的植被分类系统。本文报道了对给定图像中植被指数的比较研究和分析，统计数据的获取和数据库导出

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

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

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2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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