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

A method of information extraction for maize at jointing stage was described by using the high-resolution visible images, which were obtained by the unmanned aerial vehicle (UAV) remote sensing system. The 27 texture features of five ground objects were calculated separately, including maize, wheat, sunflower, sapling and bare land in the region of interest obtained by using co-occurrence measures and convolutions low pass. Comparing the variation coefficient of five ground objects and the relative difference with maize, the mean of green, homogeneity of blue and texture low pass vegetation index (TLVI) were chosen as the feature to obtain planting information of maize. In order to distinguish the maize land and sapling land, the TLVI was built by using scatter diagram in which the X axis was the lowpass red band and the Y axis was the low-pass blue band of maize land and sapling land. In the preliminary result, it was found that there were patches which had the same feature with maize land in wheat land and sapling land and patches of other kinds in the maize land. By analyzing the uniqueness of shape and area of two kinds of patches, the other patches were removed and the patches of maize land were retained. In order to verify the applicability and the reliability of the method, two different images which were in the same period with the region of interest were chosen to process by using the same method. The results indicated that the method could extract planting information of maize through using the high-resolution visible images obtained by the UAV remote sensing system and the area extraction error was less than 20%.