Types for Lidar Functions – Global Mapper

The following types are used as parameters and return values in the various Lidar operations within GlobalMapper. These types use fixed, numeric constants, which are defined here.

globalmapper.GM_LidarAttr_t8

Different Lidar attribute types that can have their values retrieved

Values:

GM_LidarAttr_ReturnNo = 0

GM_LidarAttr_Intensity = 1

GM_LidarAttr_Class = 2

GM_LidarAttr_ScanAngle = 3

GM_LidarAttr_UserData = 4

GM_LidarAttr_PointSource = 5

GM_LidarAttr_NumTypes = 6

globalmapper.GM_LidarClass_t8

ASPRS Lidar types

Values:

GM_LidarClass_NeverClassified = 0

GM_LidarClass_Unclassified = 1

GM_LidarClass_Ground = 2

GM_LidarClass_LowVeg = 3

GM_LidarClass_MedVeg = 4

GM_LidarClass_HighVeg = 5

GM_LidarClass_Building = 6

GM_LidarClass_LowPoint = 7: low point (noise)
GM_LidarClass_ModelKeyPoint = 8: thinned ground (model key points)

GM_LidarClass_Water = 9

GM_LidarClass_Railroad = 10: IMPORTANT NOTE: USGS used to use this as Overlap to DO NOT treat as ground.
GM_LidarClass_Road = 11: Road Surface

GM_LidarClass_Overlap = 12

GM_LidarClass_WireGuard = 13: Wire - Guard (Shield)
GM_LidarClass_WireConductor = 14: Wire - Conductor (Phase)
GM_LidarClass_TransmissionTower = 15: Transmission Tower
GM_LidarClass_WireStructureConnector = 16: Wire-structure Connector (e.g. Insulator)
GM_LidarClass_Bridge = 17: Bridge deck
GM_LidarClass_HighNoise = 18: High Noise point
GM_LidarClass_OverheadStructure = 19: Overhead structure
GM_LidarClass_IgnoredGround = 20: Ignored Ground (typically breakline proximity)
GM_LidarClass_Snow = 21: If present and identifiable

Topo-Bathy Lidar profile types

GM_LidarClass_BathyPoint = 40

GM_LidarClass_WaterSurface = 41

GM_LidarClass_DerivedWaterSurface = 42

GM_LidarClass_SubmergedObject = 43

GM_LidarClass_IhoS57Object = 44

GM_LidarClass_NoBottomFoundBathyPoint = 45

GM_LidarClass_MaxValid = 255

globalmapper.GM_LidarClassGroup_t16

Lidar class groups to categorize what type(s) of data a classification represents

Values:

GM_LidarGroup_Surface = 0x0001: Surface points (i.e. ground, water, road)
GM_LidarGroup_OffSurface = 0x0002: Points that are definitely not on the surface
GM_LidarGroup_Noise = 0x0004: Noise points
GM_LidarGroup_Powerline = 0x0008: Points that are along a powerline
GM_LidarGroup_Structure = 0x0010: Points that are part of a solid structure (i.e. building)
GM_LidarGroup_Vegetation = 0x0020: Vegetation points
GM_LidarGroup_Bathy = 0x0040: Bathymetric (i.e. below water surface) points
GM_LidarGroup_Unclassified = 0x0080: Unclassified points

globalmapper.GM_LidarDrawMode_t8

Drawing types for Lidar data

Values:

GM_LidarDraw_ElevWColor = 0: Color based on sample color if available, otherwise elevation
GM_LidarDraw_Elev = 1: Color based on elevation
GM_LidarDraw_Intensity = 2: Color based on intensity
GM_LidarDraw_Class = 3: Color based on class
GM_LidarDraw_Return = 4: Color based on return (1st, 2nd, etc.)
GM_LidarDraw_HeightAboveGround = 5: Color based on height above ground
GM_LidarDraw_PointSourceId = 6: Color based on point source ID
GM_LidarDraw_PointIndex = 7: Color based on point index
GM_LidarDraw_ReturnHeightDelta = 8: Color based on difference in height between first and last return of multi-return set
GM_LidarDraw_CIR = 9: Color infrared display using NIR/red/green for the RGB layout
GM_LidarDraw_NDVI = 10: Color NDVI value calculated from NIR and red band
GM_LidarDraw_NDWI = 11: Color NDWI value calculated from NIR and green band
GM_LidarDraw_Density = 12: Color based on point density
GM_LidarDraw_Withheld = 13: Color based on withheld flag
GM_LidarDraw_ModelKeyPoint = 14: Color based on model key point flag
GM_LidarDraw_Overlap = 15: Color based on overlap point flag
GM_LidarDraw_ScanAngle = 16: Color based on scan angle
GM_LidarDraw_ByLayer = 17: Color each layer a different color
GM_LidarDraw_SegmentId = 18: Color based on segment ID
GM_LidarDraw_Generic = 19: Color based on generic float field
GM_LidarDraw_GenericUncertainty = 20: Color based on generic uncertainty field
GM_LidarDraw_NumTypes = 21: Number of available drawing types
GM_LidarDraw_Normal = 22: color based on normal(vector)
GM_LidarDraw_Curvature = 23: color based on curvature field (magnitude)
GM_LidarDraw_CurvatureDir = 24: color based on curvature field (vector)
GM_LidarDraw_IntenGrad = 25: color based on intensity gradient field (magnitude)
GM_LidarDraw_IntenGradDir = 26: color based on intensity gradient field (vector)
GM_LidarDraw_PCA = 27: color based on PCA (vector)
GM_LidarDraw_Eigentropy = 28: color based on eigentropy
GM_LidarDraw_ExtraFieldS32_1 = 29: color based on extra field data
GM_LidarDraw_ExtraFieldS32_2 = 30: color based on extra field data
GM_LidarDraw_ExtraFieldS64_1 = 31: color based on extra field data
GM_LidarDraw_ExtraFieldS64_2 = 32: color based on extra field data
GM_LidarDraw_ExtraFieldS64_3 = 33: color based on extra field data
GM_LidarDraw_ExtraFieldS64_4 = 34: color based on extra field data
GM_LidarDraw_Default = GM_LidarDraw_ElevWColor: Default setting is coloring by elevation
GM_LidarDraw_Multiple = 0xFE: Multiple different draw modes are select
GM_LidarDraw_UseGlobal = 0xFF: Use global draw mode setting

globalmapper.GM_LidarFieldMask_t32

Bit masks of Lidar fields that are to be updated

Values:

GM_LidarField_Class = 0x00000001: Classification is valid
GM_LidarField_Color = 0x00000002: Color fields are valid
GM_LidarField_XY = 0x00000004: XY fields are valid
GM_LidarField_Z = 0x00000008: Z field is valid
GM_LidarField_Intensity = 0x00000010: Intensity field is valid
GM_LidarField_KeyPoint = 0x00000020: Key point flag is valid
GM_LidarField_Overlap = 0x00000040: Overlap flag is valid
GM_LidarField_Synthetic = 0x00000080: Synthetic flag is valid
GM_LidarField_Withheld = 0x00000100: Withheld flag is valid
GM_LidarField_Deleted = 0x00000200: Deleted flag is valid
GM_LidarField_GroundHeight = 0x00000400: Height above ground is valid
GM_LidarField_ReturnHeight = 0x00000800: Return height delta is valid
GM_LidarField_NIR = 0x00001000: NIR fields are valid
GM_LidarField_ReturnNum = 0x00002000: Return number field is valid
GM_LidarField_ReturnCount = 0x00004000: Return count field is valid
GM_LidarField_ScanAngle = 0x00008000: Scan angle field is valid
GM_LidarField_ScannerChannel = 0x00010000: Scanner channel field is valid
GM_LidarField_SourceID = 0x00020000: Point source ID field is valid
GM_LidarField_UserData = 0x00040000: User data field is valid
GM_LidarField_EdgeFlightLine = 0x00080000: Edge of flight line field is valid
GM_LidarField_SegmentID = 0x00100000: Segment ID field is valid
GM_LidarField_ScanDirection = 0x00200000: Scan direction field is valid
GM_LidarField_Generic = 0x00400000: Generic float field (statistics) is valid
GM_LidarField_GenericUncertainty = 0x00800000: Generic uncertainty float field is valid
GM_LidarField_Normal = 0x01000000: generic uncertainty float field is valid
GM_LidarField_PrincipalComponents = 0x02000000: principal components vector field is valid
GM_LidarField_Curvature = 0x04000000: curvature field is valid
GM_LidarField_CurvatureDir = 0x08000000: curvature direction vector field is valid
GM_LidarField_IntenGrad = 0x10000000: intensity gradient field is valid
GM_LidarField_IntenGradDir = 0x20000000: intensity gradient direction vector field is valid
GM_LidarFieldMask_All = 0xFFFFFFFF: All fields are valid

Mask of fields that are used during Lidar statistics calculation

GM_LidarFieldMask_NonStats = ( GM_LidarField_Color | GM_LidarField_XY | GM_LidarField_SegmentID | GM_LidarField_NIR )

GM_LidarFieldMask_Stats = ~GM_LidarFieldMask_NonStats

globalmapper.GM_LidarFilterFlags_t32

Point flags to keep for filter. Each flag has both a bit to say whether it should be used and another to say if it should be on or off.

Values:

GM_LidarFilterFlag_WithheldValid = 0x00000001: Check the withheld flag
GM_LidarFilterFlag_Withheld = 0x00000002: Point is withheld
GM_LidarFilterFlag_KeyPointValid = 0x00000004: Check the key point flag
GM_LidarFilterFlag_KeyPoint = 0x00000008: Point is key point
GM_LidarFilterFlag_OverlapValid = 0x00000010: Check the overlap flag
GM_LidarFilterFlag_Overlap = 0x00000020: Point is overlap
GM_LidarFilterFlag_SyntheticValid = 0x00000040: Check the synthetic flag
GM_LidarFilterFlag_Synthetic = 0x00000080: Point is synthetic
GM_LidarFilterFlag_DeletedValid = 0x00000100: Check the deleted flag
GM_LidarFilterFlag_Deleted = 0x00000200: Point is deleted
GM_LidarFilterFlag_ModifiedValid = 0x00000400: Check the modified flag
GM_LidarFilterFlag_Modified = 0x00000800: Point has been modified
GM_LidarFilterFlag_EdgeofFlightLineValid = 0x00001000: Check the edge of flight flag
GM_LidarFilterFlag_EdgeofFlightLine = 0x00002000: Point is edge of flight
GM_LidarFilterFlag_ScanDirectionValid = 0x00004000: Check the scan direction flag
GM_LidarFilterFlag_ScanDirection = 0x00008000: Point is positive scan direction
GM_LidarFilterFlag_NoneValid = 0x00010000: Check the none flag
GM_LidarFilterFlag_None = 0x00020000: Point has no flags set

globalmapper.GM_LidarFlags_t32

Flags for Lidar point features

Values:

GM_LidarFlags_ColorValid = 0x00000001: Are the red, green, and blue color values valid?
GM_LidarFlags_Withheld = 0x00000002: Is the point withheld?
GM_LidarFlags_Synthetic = 0x00000004: Is the point synthetic?
GM_LidarFlags_KeyPoint = 0x00000008: Is the point a key point?
GM_LidarFlags_Overlap = 0x00000010: Is the point overlap?
GM_LidarFlags_ScanDir = 0x00000020: Scan direction
GM_LidarFlags_EdgeOfFlightLine = 0x00000040: Is the point on the edge of the flight line
GM_LidarFlags_Deleted = 0x00000080: Is the point marked as deleted
GM_LidarFlags_Modified = 0x00000100: Has the point been modified since load?
GM_LidarFlags_NirValid = 0x00000200: Is the NIR (near infrared) value valid?

globalmapper.GM_LidarFlagType_t8

Definition of different types that can be returned

Values:

GM_LidarFlag_Synthetic = 0

GM_LidarFlag_KeyPoint = 1

GM_LidarFlag_Overlay = 2

GM_LidarFlag_Withheld = 3

GM_LidarFlag_EdgeOfFlightLine = 4

GM_LidarFlag_None = 5

GM_LidarFlag_NumTypes = 6

globalmapper.GM_LidarGridField_t8

Fields of data to grid for Lidar data

Values:

GM_LidarGrid_Elevation = 0: Grid the elevation values
GM_LidarGrid_Intensity = 1: Grid Lidar point intensity values rather than elevation values
GM_LidarGrid_Height = 2: Grid Lidar height above ground rather than elevation values
GM_LidarGrid_ColorRGB = 3: Grid the RGB color from Lidar points
GM_LidarGrid_ColorRGBI_NIR = 4: Grid the RGBI color from 4-band Lidar (RGB+NIR)
GM_LidarGrid_ColorRGBI_Intensity = 5: Grid the RGBI color from 4-band Lidar (RGB+Intensity)
GM_LidarGrid_Class = 6: Grid the classification code from Lidar points
GM_LidarGrid_Density = 7: Grid the point density in points / m^2 of a Lidar point cloud
GM_LidarGrid_NDVI = 8: Grid the calculated NDVI value from 4-band Lidar (RGB+NIR)
GM_LidarGrid_NDWI = 9: Grid the calculated NDWI value from 4-band Lidar (RGB+NIR)
GM_LidarGrid_Red = 10: Grid the Red value (single band)
GM_LidarGrid_Green = 11: Grid the Green value (single band)
GM_LidarGrid_Blue = 12: Grid the Blue value (single band)
GM_LidarGrid_NIR = 13: Grid the NIR value (single band)
GM_LidarGrid_ScanAngle = 14: Grid the Scan Angle value
GM_LidarGrid_PointSourceID = 15: Grid the Point Source ID value
GM_LidarGrid_UserData = 16: Grid the User Data value
GM_LidarGrid_ScannerChannel = 17: Grid the Scanner Channel value
GM_LidarGrid_NumPointsInCell = 18: Grid the number of points in each cell

GM_LidarGrid_NumTypes = 19

globalmapper.GM_LidarReturnPulseId_t8

Enumeration specifying how pulses in a multi-return are identified. They must be contiguous (i.e. by GPS time), but can also skip over things with different fields, like user data or point source ID

Values:

GM_LidarPulseId_OnlyGpsTime = 0: Only the sequence/GPS time is considered
GM_LidarPulseId_UserData = 1: Points must have appropriate GPS time and same user data to be part of same return
GM_LidarPulseId_PointSourceID = 2: Points must have appropriate GPS time and same point source ID to be part of same return
GM_LidarPulseId_ScannerChannel = 3: Points must have appropriate GPS time and same scanner channel to be part of same return
GM_LidarPulseId_PointSourceID_ScannerChannel = 4: Points must have appropriate GPS time and same point source ID and scanner channel to be part of same return
GM_LidarPulseId_PointSourceID_UserData = 5: Points must have appropriate GPS time and same point source ID and user data to be part of same return
GM_LidarPulseId_NumTypes = 6: Number of different values

GM_LidarPulseId_Default = GM_LidarPulseId_OnlyGpsTime

globalmapper.GM_LidarReturnType_t8

Different Lidar point return types

Values:

GM_LidarReturn_Unknown = 0

GM_LidarReturn_First = 1

GM_LidarReturn_Second = 2

GM_LidarReturn_Last = 3

GM_LidarReturn_Single = 4

GM_LidarReturn_FirstOfMany = 5

GM_LidarReturn_SecondOfMany = 6

GM_LidarReturn_ThirdOrLaterOfMany = 7: Return number >= 3

GM_LidarReturn_LastOfMany = 8

GM_LidarReturn_NumTypes = 9: Types for backwards code compatibility
GM_LidarReturn_ThirdOfMany = GM_LidarReturn_ThirdOrLaterOfMany: Return number >= 3

globalmapper.GM_LidarResMult_t

Lidar resolution multiplier types for dialog

Values:

GM_LidarResMult_Spacings = 0: Resolution multiplier in spacings
GM_LidarResMult_Meters = 1: Resolution multiplier in meters
GM_LidarResMult_Feet = 2: Resolution multiplier in feet

GM_LidarResMult_NumTypes = 3

globalmapper.GM_LidarClassifyTypes_t32

Flags for types of points to classify

Values:

GM_Classify_Ground = 0x00000001: Classify likely ground points
GM_Classify_Buildings = 0x00000002: Classify building points
GM_Classify_HighVeg = 0x00000004: Classify high veg
GM_Classify_Powerline = 0x00000008: Classify powerlines
GM_Classify_HighNoise = 0x00000010: Classify high noise
GM_Classify_LowNoise = 0x00000020: Classify low noise
GM_Classify_Pole = 0x00000040: Classify pole like objects

Masks of combinations of classifications

GM_Classify_Noise = GM_Classify_HighNoise | GM_Classify_LowNoise,

GM_Classify_NonGround = GM_Classify_Buildings | GM_Classify_HighVeg | GM_Classify_Powerline | GM_Classify_Pole,

GM_Classify_NonGroundDialog = GM_Classify_Buildings | GM_Classify_HighVeg,

GM_Classify_PoleDialog = GM_Classify_Powerline | GM_Classify_Pole

globalmapper.GM_ClassifyGroundFlags_t32

Flags for ground setup

Values:

GM_ClassifyGround_ResetGroundPoints = 0x00000001: Reset existing ground points to unknown classification at start of operation
GM_ClassifyGround_KeepNonGroundPoints = 0x00000002: Keep non-ground points as whatever type they were re-classified to rather than resetting
GM_ClassifyGround_CreateDebugLayers = 0x00000004: Create layers for debugging auto-classify ground
GM_ClassifyGround_RemoveNearNonGround = 0x00000008: Run the ‘remove near non-ground’ part of the algorithm
GM_ClassifyGround_HideProgress = 0x00000010: Don’t show cancellable progress during this operation

globalmapper.GM_ClassifyNoiseFlags_t32

Flags for noise setup

Values:

GM_ClassifyNoise_UnclassifiedOnly = 0x00000001: Only mark unclassified points as noise
GM_ClassifyNoise_NoHighNoise = 0x00000002: Don’t mark high noise
GM_ClassifyNoise_NoLowNoise = 0x00000004: Don’t mark low noise
GM_ClassifyNoise_CreateDebugLayers = 0x00000008: Create layers for debugging auto-classify
GM_ClassifyNoise_ChangeClass = 0x00000010: Change the classification of noise points?
GM_ClassifyNoise_MarkWithheld = 0x00000020: Mark points as withheld
GM_ClassifyNoise_MarkDeleted = 0x00000040: Mark points as deleted
GM_ClassifyNoise_ResetNoisePoints = 0x00000080: Reset existing noise points to unknown classification at start of operation
GM_ClassifyNoise_CheckHeightRange = 0x00000100: Set if the min/max height above ground range is valid
GM_ClassifyNoise_HideProgress = 0x00000200: Don’t show cancellable progress
GM_ClassifyNoise_Defaults = GM_ClassifyNoise_ChangeClass: Default value

globalmapper.GM_ClassifyNonGroundFlags_t32

Flags for non-ground setup

Values:

GM_Classify_ResetPoints = 0x00000001: Reset existing points of the type(s) that are about to be classified
GM_Classify_CreateDebugLayers = 0x00000002: Create layers for debugging auto-classify with best-fit plane information
GM_Classify_SinglePassBestFit = 0x00000004: Only do a single pass for the best-fit plane finding rather than doing a 2nd weighted pass
GM_Classify_IgnoreNDVI = 0x00000008: Don’t use the NDVI values for NIR-enabled points to help classify vegetation/buildings
GM_Classify_IgnoreNDWI = 0x00000010: Don’t use the NDWI values for NIR-enabled points to help classify vegetation/buildings
GM_Classify_HideProgress = 0x00000020: Don’t show cancellable progress

globalmapper.GM_LidarExtractType_t32

Types of features to extract

Values:

GM_LidarExtract_Buildings = 0x0000001: Extract building outlines
GM_LidarExtract_Trees = 0x0000002: Extract tree points/areas
GM_LidarExtract_Powerlines = 0x0000004: Extract powerlines
GM_LidarExtract_Poles = 0x0000008: Extract poles

globalmapper.GM_LidarExtractFlags_t32

Flags for non-ground setup

Values:

GM_LidarExtract_CreateSideWalls = 0x00000001: Create side walls for 3D building outlines
GM_LidarExtract_SaveDebugInfo = 0x00000002: Save any debug layers
GM_LidarExtract_CreateSeparateRoofPieces = 0x00000004: Create separate roof pieces if the angle or plane height changes dramatically instead of one building per cluster
GM_LidarExtract_CreateTreePolygons = 0x00000008: Extract tree coverage areas
GM_LidarExtract_SmoothTreePolygons = 0x00000010: Smooth the tree coverage area polygons
GM_LidarExtract_BestFitPlaneForRoofPieces = 0x00000020: If creating separate roof pieces, use a best fit plane of the roof points to get the elevations to assign rather than nearest point
GM_LidarExtract_CreateBuildingAsMesh = 0x00000040: Create 3D model (mesh) for buildings rather than 3D areas
GM_LidarExtract_CreateFootprints = 0x00000080: Create footprints
GM_LidarExtract_HideProgress = 0x00000100: Hide progress dialog

globalmapper.GM_LidarExtractLayer_t32

Available layers for Lidar extraction

Values:

GM_LidarExtractLayer_BuildingHulls = 0: Layer for building hulls (3d RDTs)
GM_LidarExtractLayer_BuildingFootprints = 1: Layer for building footprints (2D RDTs simplified)
GM_LidarExtractLayer_BuildingWalls = 2: Layer for building walls connecting simplified footprints and roof planes
GM_LidarExtractLayer_BuildingPlanes = 3: Layer for building planes (boundaries match walls and simplified footprints in x,y)
GM_LidarExtractLayer_Pole = 4: Layer for pole features
GM_LidarExtractLayer_Powerline = 5: Layer for powerline features
GM_LidarExtractLayer_Tree = 6: Layer for tree features
GM_LidarExtractLayer_PoleHulls = 7: Layer for pole mesh
GM_LidarExtractLayer_TreeHulls = 8: Layer for tree mesh
GM_LidarExtractLayer_TreeFootprints = 9: Layer for tree polygons

GM_LidarExtract_NumLayers = 10

globalmapper.GM_CameraModel_t8

Available camera types

Values:

GM_CameraModel_Pinhole = 1

GM_CameraModel_PinholeRadial1 = 2

GM_CameraModel_PinholeRadial3 = 3

GM_CameraModel_PinholeBrown2 = 4

GM_CameraModel_PinholeSimpleFisheye = 5

GM_CameraModel_FirstGap = 6

GM_CameraModel_Spherical = 7

GM_CameraModel_Default = GM_CameraModel_PinholeRadial3

GM_CameraModel_Unknown = 0

globalmapper.GM_SfmMethod_t8

The available SfM (Structure-from-Motion) methods

Values:

GM_SfmMethod_Incremental = 0: Incremental2 SfM engine from latest OpenMVG version
GM_SfmMethod_Global = 1: Global SfM
GM_SfmMethod_GlobalThenInc = 2: Run Global SfM, then Incremental2 (faster than just doing Incremental2)
GM_SfmMethod_IncrementalOrig = 3: Original Incremental method from latest OpenMVG version
GM_SfmMethod_IncrementalOld = 4: Old original Incremental from pre-OpenMVG 1.4

GM_SfmMethod_NumTypes = 5

GM_SfmMethod_Default = GM_SfmMethod_Incremental

globalmapper.GM_SfmQuality_t8

SfM (Structure-from-Motion) quality options

Values:

GM_SfmQuality_Normal = 0

GM_SfmQuality_High = 1

GM_SfmQuality_Ultra = 2

GM_SfmQuality_NumTypes = 3

GM_SfmQuality_Default = GM_SfmQuality_Normal

globalmapper.GM_SfmImageDescriberMethod_t8

Image describer methods

Values:

GM_Describer_SIFT = 0: Use SIFT method (default)
GM_Describer_AkazeFloat = 1: Use AKAZE with floating point descriptors
GM_Describer_AkazeMldb = 2: Use AKAZE with binary descriptors
GM_Describer_NumTypes = 3: Count of describer methods

GM_Describer_Default = GM_Describer_SIFT

globalmapper.GM_SfmInitializer_t8

Incremental SfM (Structure-from-Motion) initializer methods

Values:

GM_SfmInit_ExistingPose = 0: Initialize the reconstruction from the existing sfm_data camera poses
GM_SfmInit_MaxPair = 1: Initialize the reconstruction from the pair that has the most of matches
GM_SfmInit_AutoPair = 2: Initialize the reconstruction with a pair selected automatically
GM_SfmInit_Stellar = 3: Initialize the reconstruction with a ‘stellar’ reconstruction
GM_SfmInit_NumTypes = 4: Count of SFM enumerated values
GM_SfmInit_Default = GM_SfmInit_Stellar: Stellar reconstruction is used as the default parameter value
GM_SfmInit_UseDefault = -1: Use whatever the default is

globalmapper.GM_SfmTriMethod_t8

Incremental SfM triangulation method (enum values must match what is passed to OpenMVG_main_IncrementalSfM2.exe

Values:

GM_SfmTriMethod_DirectLinearTransform = 0

GM_SfmTriMethod_L1Angular = 1

GM_SfmTriMethod_LInfinityAngular = 2

GM_SfmTriMethod_InverseDepthWeightedMidpoint = 3

GM_SfmTriMethod_NumTypes = 4

GM_SfmTriMethod_Default = GM_SfmTriMethod_InverseDepthWeightedMidpoint

GM_SfmTriMethod_UseDefault = -1

globalmapper.GM_SfmResection_t8

Incremental SfM Resection method; enum values must match what is passed to OpenMVG_main_IncrementalSfM2.exe

Values:

GM_SfmResection_DirectLinearTransform = 0

GM_SfmResection_P3P_KE_CVPR17 = 1

GM_SfmResection_P3P_KNEIP_CVPR11 = 2

GM_SfmResection_P3P_NORDBERG_ECCV18 = 3

GM_SfmResection_UP2P_KUKELOVA_ACCV10 = 4

GM_SfmResection_NumTypes = 5

GM_SfmResection_Default = GM_SfmResection_P3P_NORDBERG_ECCV18

GM_SfmResection_UseDefault = -1

globalmapper.GM_GeoRegistrationOrderFlags_t8

How control points and/or GPS EXIF information from the images should be applied

Values:

GM_GeoRegistration_GCPsBeforeSfM = 0x01: Apply Ground Control Points (GCPs) before doing SfM
GM_GeoRegistration_NoExifIfGCPs = 0x02: Don’t apply EXIF information if GCPs are successfully applied
GM_GeoRegistration_GCPsBeforeExif = 0x04: Apply GCPs before EXIF rather than after
GM_GeoRegistration_UseRobustReg = 0x08: Use robust registration of EXIF location by default rather than using all points
GM_GeoRegistration_DefaultFlags = 0: Don’t use any of the above options

globalmapper.GM_P2PFlags_t32

Option flags for a Pixels-to-Points (P2P) setup object

Values:

GM_P2P_AdjustZUsingControlPoints = 0x00000001: Adjust the Z level using the control points, which should get an even better Z match with this approach
GM_P2P_DeleteWorkFiles = 0x00000002: Delete the files when finished
GM_P2P_KeepWorkFilesOnSuccess = 0x00000004: Keep work files on success even if GM_P2P_DeleteWorkFiles is set. Use if you will delete work folder externally
GM_P2P_IgnoreExif = 0x00000008: Drop the EXIF data in the images
GM_P2P_UseRelativeAltitudes = 0x00000010: Use relative altitudes offset by a base instead of EXIF values
GM_P2P_UseColorHarmonization = 0x00000020: Harmonize colors between images before processing
GM_P2P_CloudCreateFromMesh = 0x00000040: Create point cloud from mesh rather than using original densified cloud. This takes longer but produces point clouds with less ‘thickness’
GM_P2P_AddCloudLayer = 0x00000080: Automatically load and add the cloud layer, even if not saving to a file
GM_P2P_LoadSparseCloud = 0x00000100: Load the sparse point cloud, in addition to the dense one
GM_P2P_UseSceneClustering = 0x00000200: Use scene clustering to break up very large jobs
GM_P2P_ImageCreateFromMesh = 0x00000400: Create an ortho-image from the mesh rather than a point cloud
GM_P2P_ImageCreateSeparate = 0x00000800: Create a separate ortho-image from each separate image rather than combining them
GM_P2P_DensifyUseSemiGlobal = 0x00001000: Use semi-global matching for DensifyPointCloud
GM_P2P_HideProgress = 0x00002000: Don’t show a progress dialog for this operation
GM_P2P_RecursiveImageSearch = 0x00004000: Recursively look for images in mImageFolder
GM_P2P_DontUseGPU = 0x00008000: Don’t use the GPU for any processing
GM_P2P_ObeyTakeOffRelativeAlt = 0x00010000: obey the relative altitude at take-off to get a Z offset for adjusting relative altitudes based on known ground locations

GM_P2P_Default = GM_P2P_AdjustZUsingControlPoints | GM_P2P_DeleteWorkFiles | GM_P2P_AddCloudLayer | GM_P2P_ImageCreateFromMesh | GM_P2P_ObeyTakeOffRelativeAlt

globalmapper.GM_SpatialThinAlg_t8

Spatial thinning algorithm; specify which point to select from each bin grid when thinning

Values:

GM_ThinAlg_Min = 0: Use point with minimum elevation in bin
GM_ThinAlg_Max = 1: Use point with maximum elevation in bin
GM_ThinAlg_Med = 2: Use point with median elevation in bin
GM_ThinAlg_3D = 3: Keep median point in each 3D cube of bin size
GM_ThinAlg_KeepNth = 4: Keep every Nth point (i.e. every 4th return)
GM_ThinAlg_SkipNth = 5: Skip every Nth point (i.e. skip every 4th return - thin by 25%)
GM_ThinAlg_NumTypes = 6: Count of thinning algorithms

globalmapper.GM_LidarSpatialSort_t8

Define spatial sorting options for Lidar

Values:

GM_LidarSort_None = 0: Don’t sort
GM_LidarSort_Always = 1: Always sort spatially
GM_LidarSort_IfPoorlyOrganized = 2: Sort spatially if poorly organized
GM_LidarSort_NotSpecified = 0xFF: No specified sorting

globalmapper.GM_LidarCompareFlags_t32

Lidar comparison flags

Values:

GM_LidarCompare_CheckOutsideBounds = 0x00000001: Include points outside the intersected bounds of both clouds in the changed results
GM_LidarCompare_CompareBothDirs = 0x00000002: Find points in ‘compare to’ cloud set that aren’t in the ‘compare’ set, as well as the reverse
GM_LidarCompare_DelNewPoints = 0x00000004: Mark new points as deleted in their original point cloud layer
GM_LidarCompare_CreateNewLayers = 0x00000008: Create new point cloud layers with the difference points (if any are found)
GM_LidarCompare_CreateNewQueries = 0x00000010: Save queries with the difference points from the provided loaded point cloud layer(s)
GM_LidarCompare_HideProgress = 0x00000020: Hide progress bar dialog
GM_LidarCompare_SaveDistInGeneric = 0x00000040: Save distance (meters) to nearest point in other cloud in Generic stream
GM_LidarCompare_DifferenceReportWindows = 0x00000080: Spawn difference report windows
GM_LidarCompare_DifferenceReportText = 0x00000100: Write difference report text file
GM_LidarCompare_Default = GM_LidarCompare_CreateNewLayers: Default settings are to create new difference layers

globalmapper.GM_LidarColorizeFields_t8

Flags for fields to colorize during the LidarColorize operation

Values:

GM_LidarColorize_RGB = 0: Update RGB fields
GM_LidarColorize_RGBI = 1: Update RGB+NIR fields
GM_LidarColorize_Inten = 2: Update Intensity fields
GM_LidarColorize_NumFields = 3: Count of field flags

globalmapper.GM_LidarColorizeFlags_t8

Colorize field types

Values:

GM_LidarColorize_OverwriteExisting = 0x01: Overwrite existing color/intensity values
GM_LidarColorize_Keep8BitValues = 0x02: Keep values at 8-bit rather than normalizing to 16-bit
GM_LidarColorize_HideProgress = 0x04: Don’t show progress for the operation
GM_LidarColorize_UseAdjustedColors = 0x08: Use contrast-adjusted colors rather than raw color band values?
GM_LidarColorize_DefaultFlags = GM_LidarColorize_OverwriteExisting: The default setting is to overwrite the existing values

globalmapper.GM_LidarColorizeIntensity_t8

Colorize operation intensity types

Values:

GM_LidarColorizeInten_Gray = 0: Use grayscale or average value
GM_LidarColorizeInten_Red = 1: Use red band for intensity
GM_LidarColorizeInten_Green = 2: Use green band for intensity
GM_LidarColorizeInten_Blue = 3: Use blue band for intensity
GM_LidarColorizeInten_NumTypes = 4: Count of intensity band types
GM_LidarColorizeInten_Default = GM_LidarColorizeInten_Gray: Default value is grayscale

globalmapper.GM_SwathSeparationImageFlags_t32

Define flags for Swath Separation Image (SSI) creation

Values:

GM_SSI_UseLayerForFlightLine = 0x00000001: Treat each layer as a separate flight line rather than using the point source ID
GM_SSI_HideProgress = 0x00000002: Hide progress for operation
GM_SSI_SaveDebugLayers = 0x00000004: Save temporary layers generated during the process for debugging
GM_SSI_SaveWorldFile = 0x00000008: Save a world file alongside the image
GM_SSI_SavePRJFile = 0x00000010: Save a PRJ file alongside the image
GM_SSI_LoadGeneratedImage = 0x00000020: Automatically load the generated image

GM_SSI_DefaultFlags = GM_SSI_SaveWorldFile | GM_SSI_SavePRJFile | GM_SSI_LoadGeneratedImage