Reclassify points based on the following objects:

• A user drawn or pre-existing (ie shapefile) polygon
• A paint brush that can be sized by the user
• Line string or line scrape editors (Above, Below)
• A rectangular region
• Undo and redo commands allow for steps forward and back in the manual reclassification process

Use MARS® to batch process a LiDAR data classification macro script using the following filter options:

• AGC - The AGC filter reclassifies LAS points based on the value of the AGC (auto gain control) attribute.
• Building - The Building filter seeks to identify relatively smooth surfaces (ex. building roofs) built from the points in the seeding classifications point set, which should only contain points strongly identified as canopy, and reclassifies them to a class specified by the user.
• Building Robust - The Building Robust filter identifies buildings by looking at voids in the ground data and analyzing the characteristics (planes, height, area, etc.) of the non-ground points in these areas.
• Consistent Return - The Consistent Return filter reclassifies LiDAR points based on their return value. A point is reclassified if its return value and the return values of all nearby source points match the given return value requirement.
• Elevation - The Elevation filter reclassifies LiDAR points based on their absolute elevation (Z) value.
• ENVI Reclass - The ENVI Reclass filter reclassifies LiDAR points based on an ENVI classification dataset.
• Extreme High - The Extreme High filter is intended to reclassify LiDAR points that have a uniquely different and high elevation.
• Extreme Low - The Extreme Low filter is intended to reclassify LiDAR points that have a uniquely different and low elevation.
• Ground Distance - The Ground Distance filter reclassifies LiDAR points when they are within a specified ground distance of a point in the reference classification set.
• Height from Surface - The Height From Surface filter reclassifies LiDAR points that are a specified elevation above or below a surface.
• Intensity - The Intensity filter reclassifies LiDAR points based on the value of the intensity attribute.
• Isolated Point - The Isolated Point filter reclasses points when there is no other point of a reference class within a user-defined spherical radius (X, Y, and Z axes)
• Min Grid - The Min Grid filter finds the lowest point of each grid cell that matches the source classification set. The filter reclassifies the minimum elevation point (one per grid cell) to the target classification.
• Max Grid - The Max Grid filter finds the highest point of each grid cell that matches the source classification set. The filter reclassifies the maximum elevation point (one per grid cell) to the target classification.
• Model Keypoint  - The Model Keypoint filter creates a thinned dataset from ground (surface) points by searching for the highest and lowest points within a specified elevation tolerance in a user-defined area.
• Percolate - The Percolate filter reclassifies LiDAR points in the source classification set that are relatively low without exceeding limits on the steepness of a surface made from the target classification.
• Plane Analysis - The Plane Analysis filter reclassifies groupings of LiDAR points that form flat, planar surfaces.
• Reclassify - The Reclassify filter reclassifies all LiDAR points from the source classification to the target classification.
• Return - The Return filter reclassifies LiDAR points based upon the specified return value requirement.
• RGB Component  - The RGB Component filter reclassifies LiDAR points based on the color values of a corresponding imagery file.
• Scan Angle - The Scan Angle filter is made specifically for use with the 'Convert SBET to 3D Shapefile' tool. The Scan Angle filter uses an SBET file which has been converted into a 3D shapefile to reclassify certain sets of points.
• Slope - The Slope filter reclassifies source LiDAR points to a specified target class based on them falling within a user-definable range of minimum and maximum angles for the slope they occupy.
• Smart Clip - The Smart Clip filter will reclass points at varying angles of the Field of View while ensuring full coverage.
• Smooth Grid - The Smooth Grid filter builds a grid surface from the points of the source classification. LiDAR points in the source classification set are compared to this grid surface and reclassified to the target classification, if they meet the elevation difference requirements as specified by the min_diff and max_diff parameters.
• Smooth Min Grid - The Smooth Min Grid filter builds a grid surface from the minimum elevation points of the source classification set. LiDAR points in the source classification set are compared to this grid surface and reclassified to the target classification if they meet the elevation difference requirements as specified by the min_diff and max_diff parameters.
• Smooth Max Grid - The Smooth Max Grid filter builds a grid surface from the maximum elevation points of the source classification set. LiDAR points in the source classification set are compared to this grid surface and reclassified to the target classification if they meet the elevation difference requirements as specified by the min_diff and max_diff parameters.
• Timestamp - The Timestamp filter reclassifies LiDAR points based upon the timestamp attribute value.
• XY Distance - The XY Distance filter reclassifies LiDAR points that are within a specific horizontal distance of a point in the reference classification set.