【摘要】：為了深入研究遙感數(shù)據(jù)及提取方法對估算水稻種植面積的可行性,以Landsat 8 OLI影像為數(shù)據(jù)源,運(yùn)用ENVI5.1的軟件平臺,對沈陽市2015年6—9月水稻長勢進(jìn)行監(jiān)測,并最終提取其種植面積。根據(jù)實(shí)地調(diào)查樣本,通過分析各地物的光譜特性曲線、歸一化植被指數(shù)均值特征及遙感影像成像特點(diǎn),確定了以波段6、波段5、波段2對圖像進(jìn)行偽彩色合成。對合成后的圖像,分時段設(shè)計了三組不同樣本點(diǎn)數(shù)量的對比實(shí)驗,樣本數(shù)量分別為100、150、200個,采用混合像元的方式,確定了水稻的采集樣本點(diǎn),用變換分散度和J-M距離對各個樣本間的可分離性進(jìn)行檢驗,采用支持向量機(jī)的分類方法對各樣本進(jìn)行分類,最后以Majority/Minority分析方法對提取的結(jié)果進(jìn)行分類后處理,建立了不同的水稻面積提取模型。結(jié)果顯示,6月、7月、9月中200個樣本點(diǎn)的實(shí)驗提取結(jié)果均較為準(zhǔn)確,提取面積分別為1 032.044 8、1 201.125 9和1 180.685 5 km2,參考《沈陽統(tǒng)計年鑒2015》對提取結(jié)果進(jìn)行評價,精度分別為94.73%、89.75%和91.62%。試驗表明,Landsat 8OLI遙感數(shù)據(jù)可準(zhǔn)確提取沈陽市水稻種植面積,為綜合多源數(shù)據(jù)對水稻進(jìn)行種植監(jiān)測奠定基礎(chǔ)。
[Abstract]:In order to study the feasibility of remote sensing data and extraction methods in estimating rice planting area, the rice growth in Shenyang from June to September 2015 was monitored by using Landsat 8 OLI image as data source and ENVI5.1 software platform. Finally, the planting area was extracted. According to the field survey samples, by analyzing the spectral characteristic curve of the local objects, normalized vegetation index mean value characteristics and the imaging characteristics of remote sensing images, the pseudo-color synthesis of the images was determined by using band 6, band 5 and band 2. For the synthesized images, three groups of comparative experiments of the number of different sample points were designed in different periods. The number of samples was 100150200, and the sampling points of rice were determined by using mixed pixel method. The separability of each sample is tested by transform dispersion and J-M distance. Support vector machine (SVM) is used to classify each sample. Finally, Majority/Minority analysis method is used to classify and post-process the extracted results. Different models of rice area extraction were established. The results showed that the extraction results of 200 samples were all accurate in June, July and September. The extraction areas were 1 032.044 8 / 1 201.125 9 and 1 180.685 5 km2, respectively. The results were evaluated with reference to Shenyang Statistical Yearbook 2015. The accuracy is 94.7389. 75% and 92. 62% respectively. The experiment shows that the Landsat 8OLI remote sensing data can accurately extract the planting area of rice in Shenyang and lay a foundation for the comprehensive monitoring of rice planting with multi-source data.
【作者單位】： 沈陽農(nóng)業(yè)大學(xué)信息與電氣工程學(xué)院;遼寧省農(nóng)業(yè)信息化工程技術(shù)中心;
【基金】：國家重點(diǎn)研發(fā)計劃(2016YFD020060307)
【分類號】：S127;S511

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