Description
The MARS® software package is a comprehensive Windows application for visualizing, managing, processing, and analyzing LiDAR point cloud data.
Unlimited data capacity
MARS has an unlimited data loading capacity for airborne, terrestrial, and mobile LiDAR data sets. Use on-the-fly data decimation or view the entire data set
Speedy Data Crunching with 4 CPU's and 64-bit Processing
MARS software is optimized for fast data handling with the option to use up to 4 CPU's and native 64-bit versions. 32-bit Windows machines are also supported.
Compare LiDAR, Imagery, and GIS Data
Compare your collected LiDAR data with orthophoto or multispectral imagery and GIS vector (line) data and grid data.
Analyze Terrestrial LiDAR
View LiDAR data collected from a ground source.
View Mobile LiDAR Data
Display the data collected from a mobile LiDAR unit.
Data Navigation and Visualization Features
Data Navigation in MARS®
- Display data in 2D (orthographic) and 3D (perspective) modes
- Navigation options allow the user to navigate to a user defined point, tile or control point
- Display LiDAR as point clouds or TINed surfaces
- Display LiDAR and control points, a virtual Grid, imagery, contour lines, shapefiles, breaklines and scalebars.
- A slider bar tool allows the user to adjust the transparency of LiDAR points with respect to imagery, to increase the vertical scale of the LiDAR points and change point density.
- Control the LiDAR class being displayed, class color, and which classes are displayed as TINs or points.
- Color by elevation, intensity, classification, flight line, return, imagery, RGB (LAS 1.2), AGC (LAS 1.0), Z Delta and Hillshade (this feature requires the use of an ESRI float grid)
- Display LiDAR points by intensity and allow the user to blend these intensity images with elevation, classification, flight line, return, AGC, or Z Delta data
- Modify the color assignment of the LiDAR points for each unique flight line value (integer)
- Draw cross sections and profiles with constant or adjustable depths
- Resize points and adjust the vertical scale within the profile window
- Easily rotate an existing profile.
Data Generation Features
- Create contours based on user defined contour settings and a user-defined contour area
- Create elevation and intensity grids based on user defined gridding parameters
- Smooth grids and create “normal” vectors for each cell
- Create 3D Shapefiles from profile lines
- Create several profiles lines along a centerline at a user-defined interval, and save centerlines as 2D shapefiles
- Draw 2D polygons and save them as shapefiles
- Create tile schemes for use during statistical analyses
- Convert 3D shapefiles from SBET (Smoothed Best Estimated Trajectory) files, and view with LiDAR data
- Generate a flight line polygon shapefile from LiDAR data
- Generate LAS viewshed grid files from user-defined viewshed parameters. Output viewshed grid files are rendered green for visible areas and red for invisible areas of the calculated viewshed.
Data Import/Export Options
Data ImportThe MARS® import module is used to translate elevation data files to the LAS format, which MARS natively supports.
- Text Files (ASCII)
- ESRI ASCII Grid
- ESRI Float Grid
- DTH Grid
- TerraScan Binary
- GeoTIFF
Data Export
The MARS export module allows the user to export data based on an irregular polygon shapefile, tile scheme shapefile, or to tile the data into blocks of a desired size.
- LAS
- Text Files (ASCII)
- ESRI Shapefile
- ESRI Float Grid
- ESRI ASCII Grid
- TerraScan Binary
- Contours (Shapefile)
- Contours (DGN)
- Grid - LAS
- Grid - DTH
- Grid - TIFF
- Grid - IMG
- Grid - ENVI (Elevation)
- Grid - ENVI (Elevation + Classification)
- Breaklines (DGN)
- Flightline Separation - JPEG 2000
- Hillshade - JPEG 2000
- LiDAR Spatial Distribution Verification Grid - JPEG 2000
- PLSCAD Code – ASCII
Data Classification Features and Filters
Manual Editing
- 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
Filter Algorithms
- 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.
Category :
VisualizationSystem requirements:
64-bit and 32-bit versions of Windows 7, Vista (SP2), XP (SP2-64, SP3-32)Server 2008 (SP2), Server 2003 (SP2).
Windows emulators or virtual machines on other operating systems (MacOX, Linux) are not supported. Strongly recommended: 64-bit, maximum RAM
Current graphics card driver. Minimum: 1GHz CPU, 2 GB RAM
10 GB free hard disk, SXVGA (1280 x 1024)
128 MB graphics memory, Internet connection.
Status :
CommercialCost :
$ 4,870.00 Screenshot
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