ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

In order to explore how to use the remote sensing image automatic interpretation technology to realize the winter wheat planting statistics survey and improve its extraction accuracy,，the Gaofen-2 remote sensing image data of six key growth periods of winter wheat were selected. One of the most sensitive features to winter wheat area was selected respectively as the input variable from six features of near-infrared gray (NIR), red band gray (R), green band gray (G), blue wave band gray (B), ratio vegetation index (RVI) and normalized difference vegetation index (NDVI). One feature was selected for each time phase, and six features were selected for the six time phases. A model was constructed by using the random forest algorithm to extract winter wheat. The training set was constructed by selecting land samples with different growth and planting varieties in the study area. The model was constructed based on the multi-temporal features and applied to the whole Dachang Hui Autonomous County. The spatial distribution of winter wheat in Dachang Hui Autonomous County was obtained. Compared with the statistical results, the recognition accuracy of the model constructed by multi-temporal feature optimization was close to 90%. After sample optimization and post-processing, the accuracy can still be improved. This method can quickly extract winter wheat on the premise of ensuring the extraction accuracy, and greatly improve the corresponding work efficiency.