基于激光光谱遥感图像处理的地理信息系统研究

Research on Geographic Information System Based on Laser Spectrum Remote Sensing Image Processing

随着现在科技的发展,遥感技术也紧随其后,激光雷达技术的研究在国际上已有20多年的历史了,它是一种多平台的主动探测技术,现在它和合成孔径雷达、光谱成像技术一起在我们的实际生活中应用,主要是城市的数字化,且表现的尤为突出,由于激光雷达技术在测距方面有一定的优势性,所以常常被用来提取城市建筑物,并且也取得了较大的进步,在实验的过程中,我们尝试过适合大规模、快速、精度低的建筑物的提取方法,以此探寻更适合于我们现在城市数字化的方法。LIDAR(机载激光雷达)技术因能快速获取地表高精度的三维点云数据,所以被广泛的应用于3DCM(三维城市模型)的构造中,在目前,机载的激光雷达所获取的数据一般都是分成滤波和分类这两个过程进行处理,仅仅通过直接获取的数据是较难达到我们想要的结果的。下面文章就从激光雷达的发展前景、激光雷达技术和主要机载激光雷达点云数据提取建筑物。

with the development of science and technology,remote sensing technology is closely followed.The research of lidar technology has a history of more than 20 years in the world.lt is a multi platform active detection technology.Now it is applied in our real life together with synthetic aperture radar and spectral imaging technology,mainly in the digitalization of the city,and the performance is particularly outstanding.Lidar technology has certain advantages in distance measurement,so it is often used to extract urban buildings,and has made great progress.In the process of experiment,we tried to extract the method suitable for large-scale,fast,low precision buildings,in order to find a more suitable method for our city digitization.LIDAR(Airborne LIDAR) technology is widely used in the construction of 3 DCM(three-dimensional hold up your model) because it can quickly acquire the 3 D point cloud data with high accuracy on the surface.At present,the data acquired by airborne lidar is generally divided into two processes:filtering and classification.It is difficult to achieve the desired results only by directly acquiring the data.Next,we will extract buildings from the development prospect of lidar,lidar technology and main airborne LIDAR point cloud data.