基于无人机遥感数据的国有土地覆盖变化动态监测

Dynamic monitoring of state-owned land cover change based on UAV remote sensing data

传统方法对国有土地覆盖变化监测时,未对高空间特征提取,与无人机遥感数据融合效果不佳。为此,文中提出一种新的方法解决国有土地覆盖变化检测问题。通过无人机遥感技术采集国有土地覆盖图像;采用边缘轮廓特征法对国有土地覆盖无人机遥感特征进行检测,构建土地覆盖遥感图像的像素空间重构模型;依据图像区域重构遥感图像的高空间特征,通过相似度信息融合无人机遥感数据与图像高空间特征,实现国有土地覆盖变化动态监测。仿真结果表明,文中方法能够有效融合高空间特征与无人机遥感数据,国有土地覆盖变化动态监测效果较好,同时无人机遥感特征提取的精度较高,实现了国有土地覆盖变化的动态反馈。

When traditional methods are used to monitor the change of state-owned land cover,high spatial features are not extracted,and the integration effect with Unmanned aerial vehicle (UAV) remote sensing data is not work well.Therefore,this paper proposes a new method to solve the problem of detecting the change of state-owned land cover.State-owned land cover images is obtained by UAV remote sensing technology.The edge contour feature method is used to detect the remote sensing features of state-owned land cover unmanned aerial vehicle,and the pixel space reconstruction model of land cover remote sensing image is constructed.The high spatial characteristics of remote sensing images are reconstructed according to image regions,and the dynamic monitoring of state-owned land cover change is realized by integrating the high spatial characteristics of UAV remote sensing data and images with similarity information.The simulation results show that the proposed method can effectively integrate high spatial characteristics with UAV remote sensing data,and has a better dynamic monitoring effect on state-owned land cover change.At the same time,the accuracy of UAV remote sensing feature extraction is high,which can realize the dynamic feedback of state-owned land cover change.