Data Management

This chapter introduces the basic tools commonly used for point cloud and raster data processing. Contents include: point cloud tools, raster tools, clip tools, format conversion and data extraction.

• Point Cloud Tools

  • Outlier Removal

  • Noise Filter

  • Normalization

  • Normalization by Ground Class

  • Tile

  • Merge

  • Boundary

  • Subsampling

  • PCV

  • Define Projection

  • ReProjection

  • Extract Color from Image

  • Subdivision

  • Transformation

• Raster Tools

  • Band Calculator

  • Raster Mosaic

  • Raster Subdivision

• Clip

  • Clip by Circle

  • Clip by Rectangle

  • Clip by Polygon

• Conversion

  • Convert to LiData

  • Convert LiData to LiData

  • Convert to Las

  • Convert to ASCII

  • Convert to Raster

  • Convert to Shape

  • Convert to DXF

  • Convert Image to LiModel

  • Convert to Texture LiModel

  • Convert LiModel to Image

• Extract

  • Extract by Class

  • Extract by Elevation

  • Extract by Intensity

  • Extract by Return

  • Extract by Time

  • Extract by Serial Time

• Classify

  • Classify by Attribute

  • Classify Ground

  • Classify Low Points

  • Classify by Below Surface

  • Classify Isolated Points

  • Classify Air Points

  • Classify by Height Above Ground

  • Classify by Min Elevation

  • Classify by Close Point

  • Class Conversion

  • Classify Buildings

  • Classify Model Key Points