摘要
针对数学形态学分割方法进行多光谱遥感数据山区地理信息提取容易产生伪边缘和漏检的问题,提出激光雷达与遥感数据山区地理信息处理技术。首先采用激光雷达成像技术进行多光谱遥感影像采集,对采集的山区地理遥感影像进行图像边缘降噪和轮廓提取,以提取的边缘轮廓特征为中心矩进行仿射不变区域分割,得到遥感图像的仿射不变矩,结合多光谱遥感数据分析实现山区地理信息提取优化。最后通过仿真实验进行性能分析,结果表明,采用本文技术进行多光谱遥感成像和山区地理信息提取,输出图像的峰值信噪比较高,归一化相关系数较高,信息准确检测效能高于传统方法。
Considering the false edges and missed detections are easily caused by mathematical morphology seg- mentation method based on muhispectral remote sensing data during the mountain geographic information extraction, this thesis presented the mountain geographic information extraction technology based on laser radar and remote sensing data. First, collecting the multispectral remote sensing images by laser radar imaging and make image edge denoising and contour extraction. Then, make the affine invariant region segmentation based on the central moment of edge con- tour feature extracted to get the affine moment invariant of remote sensing image, and realizing the optimization of mountain geographic information extraction combined with the muhispectral remote sensing data analysis. Finally, the performance analysis of the simulation experiment shows that the multispectral remote sensing imaging and the mountain information extraction based on the technology presented in this thesis make the output image a high peak SNR （noise -signal ratio） , a high normalized correlation coefficient, and a higher accuracy of information detection than traditional method.
作者
白彬
BAI Bin(Tongren University, Tongren Guizhou 554300, Chin)
出处
《激光杂志》
北大核心
2017年第4期150-154,共5页
Laser Journal
基金
贵州省科技厅联合基金项目(黔科合LH字[2014]7472)
(黔科合LH字[2015]7253)
关键词
激光雷达
多光谱遥感数据
山区地理信息
遥感影像
图像分割
laser radar
multi spectral remote sensing data
mountain geographic information
remote sensing im-age
image segmentation
