国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

The currently proposed multi-scale detection technology for UAV remote sensing images has a poor average image gray level, resulting in low resolution of detection results. In order to solve the above problems, a new multi-scale detection technology of UAV remote sensing images is studied based on the local weighted fitting algorithm. The least square method is used for multiple loop calculations to determine the repetition rate of the surrounding area and improve the data accuracy through thinning processing. According to the Gaussian pyramid, the n-order image sequence is obtained, and the feature extraction of the remote sensing image is completed by using the Gaussian pyramid and the difference scale division. Introduce a weighted fitting algorithm, construct an effective image data set, determine the image network model, thus complete the merger, and realize the detection of image data. The experimental results show that the UAV remote sensing image multi-scale detection technology based on the local weighted fitting algorithm can effectively improve the average image sharpness and enhance the sharpness of the detection results.