本文選題：NDVI　切入點(diǎn)：高分一號(hào)　出處：《南水北調(diào)與水利科技》2017年03期

【摘要】：基于高分辨率遙感影像提取的種植結(jié)構(gòu)信息,能夠比傳統(tǒng)的統(tǒng)計(jì)數(shù)據(jù)更加直觀地表達(dá)農(nóng)作物的空間分布特征,這些數(shù)據(jù)信息是水資源管理部門(mén)進(jìn)行水資源管理的重要數(shù)據(jù)參考。為解決GF-1 WFV傳感器影像中混合像元對(duì)小麥信息提取結(jié)果的影響,引入高分辨率GF-1PMS傳感器影像,在兩種影像相同位置建立樣本研究區(qū),利用PMS影像的分辨率優(yōu)勢(shì)為WFV影像中小麥混合像元訓(xùn)練樣本提供真實(shí)小麥面積權(quán)重,得到WFV影像小麥混合像元NDVI與小麥面積權(quán)重的比例關(guān)系,再運(yùn)用區(qū)間歸一化的方法解決同一NDVI值對(duì)應(yīng)不同小麥面積權(quán)重的問(wèn)題,進(jìn)而得到混合像元中小麥的真實(shí)面積信息,最終提取了冀州市的冬小麥信息。經(jīng)驗(yàn)證,該方法能夠在實(shí)地樣本不足的條件下,較準(zhǔn)確地提取冬小麥面積信息。
[Abstract]:The planting structure information extracted from high resolution remote sensing images can express the spatial distribution characteristics of crops more intuitively than the traditional statistical data. These data information is an important data reference for water resources management department.In order to solve the influence of mixed pixels in GF-1 WFV sensor image on wheat information extraction, high resolution GF-1PMS sensor image was introduced, and the sample study area was established in the same position of two kinds of images.Using the resolution advantage of PMS image to provide real wheat area weight for wheat mixed pixel training sample in WFV image, the relation between wheat mixed pixel NDVI and wheat area weight in WFV image is obtained.Then the method of interval normalization is used to solve the problem that the same NDVI value corresponds to different weight of wheat area, and then the real area information of wheat in mixed pixel is obtained, and finally the information of winter wheat in Jizhou City is extracted.It is proved that this method can accurately extract the area information of winter wheat under the condition of insufficient field samples.
【作者單位】： 蘭州交通大學(xué)測(cè)繪與地理信息學(xué)院;中國(guó)水利水電科學(xué)研究院;
【基金】：國(guó)家科技重大專項(xiàng)(08Y30B07-9001-13/15) 國(guó)家科技支撐計(jì)劃項(xiàng)目(2013BAB05B01)~~
【分類號(hào)】：S127;S512.11

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本文編號(hào)：1694539