| 农作物遥感分类特征变量选择研究现状与展望 |
| |
| 引用本文： | 贾坤,李强子.农作物遥感分类特征变量选择研究现状与展望[J].资源科学,2013,35(12):2507-2516. |
| |
| 作者姓名： | 贾坤 李强子 |
| |
| 作者单位： | 北京师范大学全球变化与地球系统科学研究院, 北京 100875;中国科学院遥感与数字地球研究所, 北京 100101 |
| |
| 基金项目： | 国家自然科学基金项目（编号：41071277，41301353）；中国科学院重点部署项目（编号：KZZD-EW-08-05）；中央高校基本科研业务费专项资金资助。 |
| |
| 摘 要： | 农作物遥感分类是农作物种植面积估算的重要核心问题，是提高农作物种植面积估算精度的关键研究内容。特征变量的选择是农作物遥感分类的重要步骤，有效地使用多种特征变量是提高农作物遥感分类精度的关键。随着多源数据获取的更加容易，电磁波谱特征、空间特征、时间特征以及辅助数据特征在农作物遥感分类中发挥着重要的作用。本文简要回顾和综合分析了在农作物遥感分类中所使用的各种特征变量，包括多光谱特征、微波散射特征、多源数据特征、高光谱数据特征等电磁波谱特征，以及空间特征、时间特征和辅助数据特征等，并分析了农作物遥感分类特征变量选择方面存在的问题和发展趋势。指出目前农作物遥感分类特征变量选择存在的关键问题主要包括特征变量选择的理论研究不足和综合应用存在缺陷两个方面。未来农作物遥感分类特征选择研究的核心内容主要包括生化组分特征及冠层结构特征等农作物遥感分类新特征变量的挖掘、分类特征变量的综合应用、农作物遥感分类特征变量的敏感性和不确定性研究3个方面。
|
| 关 键 词： | 农作物 遥感 分类 特征选择 |
| 收稿时间： | 9/4/2013 12:00:00 AM |
Review of Features Selection in Crop Classification Using Remote Sensing Data |
| |
| JIA Kun and LI Qiangzi.Review of Features Selection in Crop Classification Using Remote Sensing Data[J].Resources Science,2013,35(12):2507-2516. |
| |
| Authors: | JIA Kun and LI Qiangzi |
| |
| Institution: | College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China |
| |
| Abstract: | Agriculture plays a key role in the national economy,and food production is important for the establishment of national and regional socio-economic development planning,to ensure national food security and social stability,and for guidance and control of macro cropping structure adjustment. Crop planting acreage is an important factor affecting food production and estimation of crop acreage using remote sensing data has become an important aspect of agriculture monitoring with remote sensing technique. Crop classification using remote sensing data is essential for improving crop acreage estimation accuracy. Features selection in crop classification of remote sensing data is an important step and effectively use of multiple features is especially significant for improving crop classification accuracy. Along with the facility in multi-source data acquiring,electromagnetic spectrum features,spatial features,temporal features and assistant data features are becoming more and more important in crop classification with remote sensing data. This paper briefly describes the characters and advantages of different features,including the multi-spectral feature,microwave scattering feature,multi-source data feature,hyperspectral data feature,spatial feature,temporal feature and assistant data feature. Furthermore,existing problems and developing trends in features selection for crop classification using remote sensing data are analyzed. It is indicated that weakness in theoretical research and limitation in combined application of features selection for crop classification of remote sensing data are two main problems. New features selection including biochemical component feature and canopy structure feature,integrated application of features of remote sensing data,sensitivity and uncertainty analysis of classification feature variables will be the three main issues of features selection for crop classification with remote sensing data in the future. |
| |
| Keywords: | Crop Remote sensing Classification Features selection |
|
| 点击此处可从《资源科学》浏览原始摘要信息 |
| 点击此处可从《资源科学》下载免费的PDF全文 |
|
