首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于相似性分析及线性光谱混合模型的双季稻面积估算
引用本文:景元书,李 根,黄文江.基于相似性分析及线性光谱混合模型的双季稻面积估算[J].农业工程学报,2013,29(2):177-183.
作者姓名:景元书  李 根  黄文江
作者单位:1. 南京信息工程大学江苏省农业气象重点实验室,南京 2100442. 南京信息工程大学应用气象学院,南京 210044;1. 南京信息工程大学江苏省农业气象重点实验室,南京 2100442. 南京信息工程大学应用气象学院,南京 210044;3. 国家农业信息化工程技术研究中心,北京 100097
基金项目:公益性行业(气象)科研专项(GYHY20090622);国家自然科学基金项目(41175098);江苏省"青蓝工程"资助项目;江苏高校优势学科建设工程(PAPD)项目
摘    要:为了解决大范围水稻种植信息提取时的混合像元问题,以便能够准确及时地获取水稻信息、指导水稻生产、保证粮食安全,该文提出了一种基于相似性分析和线性光谱混合模型复合的水稻提取业务化方法。以江西省为研究区,利用2010年4月15日至2010年10月31日的MODIS合成地表反射率数据(MODIS09A1),计算出时间序列MODIS-EVI指数,运用Savizky-Golay滤波方法对其进行平滑处理减少云等噪声的影响。根据双季稻的生长规律,结合野外调查和HJ-1ACCD2影像,确定双季稻样点,提取出标准双季稻EVI生长变化曲线,构建图像像元相似性指数,然后采用线性光谱混合像元分解模型对疑似双季稻像元进行混合像元分解,获得江西省双季稻种植面积信息的分布情况。结果显示,运用该方法提取的江西省双季稻种植分布情况与实际情况吻合,与江西省2010年统计年鉴中全省双季稻种植面积相比,提取精度为93%,精度较理想,与各地区统计面积相关性较好,R2=0.9659,可以为今后高精度水稻种植信息业务化的提取提供参考。

关 键 词:粮食  遥感  图像处理  双季稻  相似性指数  混合像元分解  面积提取
收稿时间:2012/5/29 0:00:00
修稿时间:2012/12/25 0:00:00

Estimation of double cropping rice planting area using similar index and linear spectral mixture model
Jing Yuanshu,Li Gen and Huang Wenjiang.Estimation of double cropping rice planting area using similar index and linear spectral mixture model[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(2):177-183.
Authors:Jing Yuanshu  Li Gen and Huang Wenjiang
Institution:1.Jiangsu Key Laboratory of Agricultural Meteorology,Nanjing University of Information Science and Technology,Nanjing 210044,China;2.College of Applied Meteorology,Nanjing University of Information Science and Technology,Nanjing 210044,China;3.China National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China)
Abstract:Abstract: The planting of double cropping rice is a cropping system of planting and harvest twice a year in China. It is essential to get the planting area and spatial distribution of paddy rice at large scale for guiding rice production and regulating the regional balance of supply and demand. Currently, using remote sensing technology to monitor the rice planting in a wide range is becoming an increasingly important tool. However, the mixed pixel problem makes it imprecise to extract the double cropping rice paddy. In order to solve the mixed pixel problems on extracting planting area of paddy rice at large scale, a method was proposed based on similar index and linear spectral mixture model. The time-series of MODIS-EVI index was calculated by using multi-temporal MODIS09A1 data from 2010-4-15 to 2010-10-31 in Jiangxi province. The influence factors such as cloud were reduced by using Savizk-Golay filtering method. Combined with field works and HJ-1A CCD2 images, the rice field samples were identified according to the rice growth patterns. Then the standard double cropping rice EVI curve was extracted, and the similar index between each pixel's EVI value of MODIS images, and standard double cropping rice EVI curve was calculated. To construct the similarity index map of rice, the suspected pixels in double cropping rice areas were extracted, and each mutually independent spectrum was got based on minimum noise fraction separating principal component and noise. The pixel points which pixel purity index larger than 3.0 were selected by calculating the image pixel purity index and extracting the high purity pixel, and the results of N-dimensional divergence were analyzed using N-dimensional visualization tools. In order to test the accuracy of the extracting method, the HJ-1A CCD2 datum was used to carry on the spatial contrast verification, and the result showed that it was substantially coincide in spatial distribution. Compared with the Statistical Yearbook of Jiangxi Province in 2010, the extraction accuracy was 93%, the correlation of the regional statistical was satisfied with R2=0.9659. The study can provide a reference for the extraction of high precision rice information in the future.
Keywords:grain  remote sensing  image processing  double cropping rice  similar index  mixed pixel decomposition  area extraction
本文献已被 CNKI 等数据库收录!
点击此处可从《农业工程学报》浏览原始摘要信息
点击此处可从《农业工程学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号