| 利用ENVI软件卫星遥感耕地信息自动提取技术研究 |
| |
| 引用本文： | 张银辉,赵庚星.利用ENVI软件卫星遥感耕地信息自动提取技术研究[J].四川农业大学学报,2000,18(2):170-172. |
| |
| 作者姓名： | 张银辉 赵庚星 |
| |
| 作者单位： | 山东农业大学资源与环境学院,山东,泰安,271018 |
| |
| 基金项目： | 山东省科委“遥感技术在耕地总量动态平衡监测中的应用研究”项目资助 |
| |
| 摘 要： | 利用美国陆地卫星的TM图像资料 ,对山东省桓台县和垦利县TM图像资料进行计算机几何校正和不同的增强处理 ,以分类和非监督分类两种方法提取耕地信息。桓台县两种方法都取得较好的结果 ;垦利县由于地处滨海盐渍土地区 ,光谱差异性小 ,因而非监督分类的结果优于监督分类的结果
|
| 关 键 词： | TM图像 图像处理 监督分类 非监督分类 |
The Research on Farm Land Information Secondary Planet Remote Sensing Computer Automatic Extraction Techniques Using the ENVI Software |
| |
| ZHANG Yin-hui,ZHAO Geng-xing.The Research on Farm Land Information Secondary Planet Remote Sensing Computer Automatic Extraction Techniques Using the ENVI Software[J].Journal of Sichuan Agricultural University,2000,18(2):170-172. |
| |
| Authors: | ZHANG Yin-hui ZHAO Geng-xing |
| |
| Abstract: | The TM image materials of Huantai County and Kenli County were emendated geometrically and enhanced differently, and the farm land information was derived by supervised classification and unsupervised classification. The result by using the two methods of Huantai County are both satisfactory. The two methods were also applied to Kenli County, but the result of unsupervised classification is better than that of supervised classification. |
| |
| Keywords: | TM IMAGE IMAGE PROCESSING SUPERVISED CLASSIFICATION UNSUPERVISED CLASSIFICATION |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
