| 基于TM影像植被信息提取研究 |
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| 引用本文： | 黄青霞,李向新,杨莉.基于TM影像植被信息提取研究[J].安徽农业科学,2013(14):6569-6571. |
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| 作者姓名： | 黄青霞 李向新 杨莉 |
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| 作者单位： | 1. 昆明理工大学国土资源工程学院,云南昆明,650093
2. 景洪市国土资源局,云南景洪,666100 |
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| 摘 要： | 基于TM遥感影像,提取研究区内植被专题信息,通过对TM多光谱影像进行K-T变换,得到亮度、绿度、湿度3个新的分量,计算各组分分量和归一化植被指数NDVI的相关系数,从而进行波段组合,将其分类结果与K-T变换基础上分类结果、以及原始图像基础上分类结果进行比较。分析表明,波段的合成与K-T变换均能提高遥感影像分类精度,并且波段组合基础上植被分类与信息提取效果良好,精度更高。
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| 关 键 词： | TM影像 K-T变换 植被信息 归一化植被指数(NDVI) 监督分类 |
Extracting the Vegetation Information Based on TM Images |
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| Institution: | HUANG Qing-xia et al (Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093 ) |
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| Abstract: | The vegetation information in study area was extracted based on TM remote sensing images. Through K-T transformation, the green- ness, brightness, wetness were obtained. The correlation coefficient of components and NDVI for bands combination were calculated, the results of its classification with the classification results after k-t transformation were compared, as well as the classification results of the original image. Analysis showed that the bands combination and K-T transformation can improve the precision of remote sensing image classification, and the re- sult of extracting the vegetation information based on bands combination is good, the precision is higher. |
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| Keywords: | TM images K-T transformation vegetation information NDVI Supervised classification |
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