基于激光雷达与遥感数据的地理空间要素识别方法

Geospatial element identification method based on lidar and remote sensing data

通过地理空间要素识别实现地理测绘和环境有效监测,提出基于激光雷达与遥感数据的地理空间要素识别方法。采用激光雷达的遥感监测方法实现对地理空间特征的对象集变化检测,根据地理空间测绘对象的纹理、形状、空间关系,采用遥感数据融合和空间信息表达方法实现对地理空间要素特征的专家知识融合,构建地理空间要素识别的遥感专家数据库。仿真结果表明,采用该方法进行地理空间要素识别的决策融合性较好。该方法也实现了对土地利用自然特征变化的检测,使得识别准确率的最大值可达到0.925,且识别耗时始终处于2.5 s以下。

Geographic mapping and effective environmental monitoring are realized through the identification of geospatial elements,and the identification method of geospatial elements based on lidar and remote sensing data is proposed.The remote sensing monitoring method of laser radar to realize the geospatial characteristics,according to the texture of geographic spatial mapping object,shape,spatial relationship,using remote sensing data fusion and spatial information expression method to realize the characteristics of geospatial elements,build geospatial element identification of remote sensing expert database.The simulation results show that the decision integration of geospatial element identification is good.The method also achieves land benefits With the detection of natural feature changes,the maximum value of the recognition accuracy can reach 0.925,and the recognition time is always below 2.5 s.