我需要将激光雷达数据(3D点云)转换为反射率和距离图(图像),以便将它们用作CNN的通道。
有谁已经使用过激光雷达数据,可以帮助我吗?
提前谢谢你。
发布于 2019-05-15 02:06:53
您所指的数据产品通常称为“网格指标”。网格度量是在用户定义的网格(例如栅格单元)内计算的LiDAR点云高度和强度数据集的描述性统计数据。我使用FUSION (reference p.72) (一组命令行工具)和lidr (reference p.29) ( R中的LiDAR处理包)来生成LiDAR网格度量。
以下是文档中使用lidr包的示例:
LASfile <- system.file("extdata", "Megaplot.laz", package="lidR")
las = readLAS(LASfile)
colors = height.colors(50)
# Canopy surface model with 4 m^2 cells
metrics = grid_metrics(las, max(Z), 2)
plot(metrics, col = colors)
# Mean height with 400-m^2 cells
metrics = grid_metrics(las, mean(Z), 20)
plot(metrics, col = colors)
# Define your own new metrics
myMetrics = function(z, i)
{
metrics = list(
zwimean = sum(z*i)/sum(i), # Mean elevation weighted by intensities
zimean = mean(z*i), # Mean products of z by intensity
zsqmean = sqrt(mean(z^2)) # Quadratic mean
)
return(metrics)
}
metrics = grid_metrics(las, myMetrics(Z, Intensity))
plot(metrics, col = colors)
plot(metrics, "zwimean", col = colors)
plot(metrics, "zimean", col = colors)
plot(metrics, "zsqmean", col = colors)以下是FUSION文档中的语法:
GridMetrics [switches] groundfile heightbreak cellsize outputfile datafile1 [datafile2 ...
datafileN]https://stackoverflow.com/questions/56126235
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