基于改進的NDVI密度分割方法的冬小麥面積信息提取

郝震+趙紅莉+蔣云鐘

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)計數(shù)據(jù)更加直觀地表達農(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進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小麥信息提取結(jié)果的影響，引入高分辨率GF-1 PMS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)勢為WFV影像中小麥混合像元訓(xùn)練樣本提供真實小麥面積權(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，再運用區(qū)間歸一化的方法解決同一NDVI值對應(yīng)不同小麥面積權(quán)重的問題，進而得到混合像元中小麥的真實面積信息，最終提取了冀州市的冬小麥信息。經(jīng)驗證，該方法能夠在實地樣本不足的條件下，較準確地提取冬小麥面積信息。

關(guān)鍵詞：NDVI；高分一號；冬小麥面積；遙感；歸一化；密度分割

中圖分類號：S127；TP79 文獻標識碼：A 文章編號：1672-1683（2017）03-0067-06

Abstract：The planting structure information extracted by high-resolution remote sensing imaging can be more intuitive than traditional statistical data to present the spatial distribution and area information of crops.These data can provide important reference for water resources management.In order to eliminate the influence of mixed pixels in GF-1 WFV sensor images on wheat information extraction，we introduced the high-resolution GF-1 PMS sensor images，and established samples in the two images.We used the superior resolution of PMS images to provide real wheat area weight to the training samples of wheat mixed pixels in the WFV image，and obtained the relationship between wheat NDVI and wheat area weight.Then we used the interval normalization method to solve the problem in which one NDVI value corresponded to different wheat area weights，and thus obtained the true area information of wheat in mixed pixels，and extracted the winter wheat information of Jizhou City.It was verified that the method can accurately extract information of winter wheat area under the condition of insufficient samples.

Key words：NDVI；GF-1；winter wheat area；remote sensing；normalization；density slicing

農(nóng)作物的種植面積與空間分布數(shù)據(jù)是農(nóng)業(yè)用水科學(xué)管理的重要基礎(chǔ)。獲取農(nóng)作物種植結(jié)構(gòu)信息的傳統(tǒng)方式主要是通過實地調(diào)查與統(tǒng)計，逐級上報匯總，這種方式不但耗費大量的物力、人力，而且最終的統(tǒng)計匯報結(jié)果因存在統(tǒng)計誤差也并不能表達農(nóng)作物的種植空間分布信息。利用遙感技術(shù)進行農(nóng)作物調(diào)查，不僅使農(nóng)作物種植結(jié)構(gòu)信息提取方式變的省時省力，還讓種植結(jié)構(gòu)信息提取結(jié)果更有時效性。

基于衛(wèi)星遙感影像提取的農(nóng)作物……