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基于小波变换的沿海滩涂LIDAR影像降噪研究
Tidal Flat LIDAR Image Denoising Based on Wavelet Transform
【摘要】 LIDAR数据的精度受到多种因素影响,选择合适的模型优化LIDAR影像,分离LIDAR观测数据与噪声,可有效提高LIDAR数据精度。本文研究基于小波变换的LIDAR影像降噪模型,并将小波降噪与各种常规方法进行对比分析,选择客观评价指标比较各方法的降噪效果,认为小波变换法更适合LIDAR影像降噪,能保留更多的有效信息。
【Abstract】 LIDAR data accuracy is affected by many factors,so selecting the appropriate model to optimize LIDAR image and separation LIDAR data and noise can effectively improve the accuracy of LIDAR data.This paper study LIDAR image noise model based on wavelet transform,compare wavelet noise reduction with a variety of conventional methods and choose objective indicator to evaluate Image Denoising effect.It is shown that wavelet transform method can be more suitable for LIDAR image denoising and retain more effective information.
【关键词】 小波变换;
影像降噪;
LIDAR;
滩涂;
指标评价;
【Key words】 Wavelet Transform; Image Denoising; LIDAR; Tidal Flat; Indicator Evaluation;
【Key words】 Wavelet Transform; Image Denoising; LIDAR; Tidal Flat; Indicator Evaluation;
- 【文献出处】 现代测绘 ,Modern Surveying and Mapping , 编辑部邮箱 ,2009年03期
- 【分类号】P237
- 【被引频次】1
- 【下载频次】127