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

机译：PIMS - 基于植被指数的语义信息检测多光谱图像处理工具

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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.

机译：本文涉及使用中高空间分辨率卫星图像的机会，以研究某个地理区域的植被覆盖的程度和结构。基于从高分辨率多光谱卫星图像的谱带的各种组合确定的植被指数来创建一种用于植被分类的计算机化系统。报道了对特定形象中植被指数的比较研究和分析，据报道了统计数据的获取及其向数据库的出口。

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《International Symposium on Symbolic and Numeric Algorithms for Scientific Computing》|2007年||共8页
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Cornelia Melenti; Daniel Safta; Dorian Gorgan;
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中图分类 TP301.5-53;
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4. PIMS - Multispectral Image Processing Tool for Semantic Information Detection Based on Vegetation Indices [C] . Cornelia Melenti, Daniel Safta, Dorian Gorgan International Symposium on Symbolic and Numeric Algorithms for Scientific Computing . 2007

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5. A predictive methodology for the detection of vegetation stress using atmospherically corrected multispectral scanner imagery. [D] . Murdock, Darryl Guy. 1995

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6. Relationship Between Remotely-sensed Vegetation Indices Canopy Attributes and Plant Physiological Processes: What Vegetation Indices Can and Cannot Tell Us About the Landscape [O] . Edward P. Glenn, Alfredo R. Huete, Pamela L. Nagler, 2008

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机译：多光谱图像图像处理工具的并行演化

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

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