| 森林面积方法研究 |
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| 引用本文： | 梁玉喜,胡庭兴,刘波. 森林面积方法研究[J]. 四川林业科技, 2005, 0(1) |
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| 作者姓名： | 梁玉喜 胡庭兴 刘波 |
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| 作者单位： | 四川农业大学林学艺学院 四川雅安 625014(梁玉喜，胡庭兴)，四川省林业勘察设计研究院 四川成都 610081(刘波) |
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| 摘 要： | 本文通过对遥感图像的处理和光谱特征信息的分析,应用ETM 影像数据和地面调查数据,研究了遥感数据处理技术在植被信息提取中的应用,尝试对高山峡谷区的森林资源调查提出较为完善的计算机图像处理技术和自动分类方法。对道孚县台站林场和麻孜林场地类的分类结果表明:运用TM453波段融合能够达到较好的图像增强效果;运用无监督分类方法提取森林面积能达到较高的分类精度;NDVI比RVI更能突出植被信息和消除山体阴影的影响。
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| 关 键 词： | 遥感 图像处理 光谱特征 信息提取 自动分类 |
A Study of Computer Extracting the Forest Area in Western Sichuan from ETM Digital Images |
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| LIANG Yu-xiHU Ting-xingLIU Bo. A Study of Computer Extracting the Forest Area in Western Sichuan from ETM Digital Images[J]. Journal of Sichuan Forestry Science and Technology, 2005, 0(1) |
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| Authors: | LIANG Yu-xiHU Ting-xingLIU Bo |
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| Affiliation: | LIANG Yu-xi~1HU Ting-xing~1LIU Bo~2 |
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| Abstract: | In this paper by means of processing TM images and analyzing spectrum characters,ETM digital images and ground survey data were used for research into the application of digital image processing technology to the vegetation information extraction,and the technology of image processing and methods of auto classification were put forward.The classification results showed that TM453 fusion could attain a better effect in image enhancement than TM432;extracting forest area by the unsupervised classification could get a better clasification accuracy than supervised;the NDVI excelled the RVI in strengthening vegetation information and eliminating shadows of hills. |
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| Keywords: | Remote sensing Image processing Spectrum character Information(feature) extracting Automatic classification |
| 本文献已被 CNKI 等数据库收录！ |
