kopia lustrzana https://github.com/OpenDroneMap/docs
commit
2264f22ebb
|
@ -12,6 +12,8 @@ Point Cloud
|
||||||
:alt: image of OpenDroneMap derived point cloud
|
:alt: image of OpenDroneMap derived point cloud
|
||||||
:align: center
|
:align: center
|
||||||
|
|
||||||
|
*Point cloud over State University Zanzibar, courtesy of Khadija Abdullah Ali*
|
||||||
|
|
||||||
|
|
||||||
3D Textured Model
|
3D Textured Model
|
||||||
^^^^^^^^^^^^^^^^^
|
^^^^^^^^^^^^^^^^^
|
||||||
|
@ -25,6 +27,8 @@ You can access the point cloud and textured meshes using MeshLab. Open MeshLab,
|
||||||
:alt: image of OpenDroneMap derived textured mesh
|
:alt: image of OpenDroneMap derived textured mesh
|
||||||
:align: center
|
:align: center
|
||||||
|
|
||||||
|
*Textured mesh over State University Zanzibar, courtesy of Khadija Abdullah Ali*
|
||||||
|
|
||||||
Orthophoto
|
Orthophoto
|
||||||
^^^^^^^^^^
|
^^^^^^^^^^
|
||||||
|
|
||||||
|
@ -36,6 +40,8 @@ Orthophoto
|
||||||
:alt: image of OpenDroneMap orthophoto
|
:alt: image of OpenDroneMap orthophoto
|
||||||
:align: center
|
:align: center
|
||||||
|
|
||||||
|
*Orthophoto over State University Zanzibar, courtesy of Khadija Abdullah Ali*
|
||||||
|
|
||||||
DTM/DSM
|
DTM/DSM
|
||||||
^^^^^^^
|
^^^^^^^
|
||||||
|
|
||||||
|
@ -50,7 +56,7 @@ Data will be stored in:
|
||||||
:alt: image of OpenDroneMap derived digital surface model
|
:alt: image of OpenDroneMap derived digital surface model
|
||||||
:align: center
|
:align: center
|
||||||
|
|
||||||
|
*Digital surface model over State University Zanzibar, courtesy of Khadija Abdullah Ali*
|
||||||
|
|
||||||
List of all outputs
|
List of all outputs
|
||||||
^^^^^^^^^^^^^^^^^^^
|
^^^^^^^^^^^^^^^^^^^
|
||||||
|
|
|
@ -29,7 +29,7 @@ Camera calibration is a special challenge with commodity cameras. Temperature ch
|
||||||
:alt: image of lens distortion effect on bowling of data
|
:alt: image of lens distortion effect on bowling of data
|
||||||
:align: center
|
:align: center
|
||||||
|
|
||||||
Bowling effect on point cloud over 13,000+ image dataset collected by World Bank Tanzania over the flood prone Msimbasi Basin, Dar es Salaam, Tanzania.
|
*Bowling effect on point cloud over 13,000+ image dataset collected by World Bank Tanzania over the flood prone Msimbasi Basin, Dar es Salaam, Tanzania.*
|
||||||
|
|
||||||
To mitigate this effect, there are a few options but the simplest are as follows: fly two patterns separated by 20°, and rather than having a nadir (straight down pointing) camera, use one that tilts forward by 5°.
|
To mitigate this effect, there are a few options but the simplest are as follows: fly two patterns separated by 20°, and rather than having a nadir (straight down pointing) camera, use one that tilts forward by 5°.
|
||||||
|
|
||||||
|
@ -47,7 +47,7 @@ Vertically separated flight lines also improve accuracy, but less so than a came
|
||||||
:alt: figure showing effect of vertically separated flight lines and forward facing cameras on improving self calibration
|
:alt: figure showing effect of vertically separated flight lines and forward facing cameras on improving self calibration
|
||||||
:align: center
|
:align: center
|
||||||
|
|
||||||
From James and Robson (2014), `CC BY 4.0 <https://creativecommons.org/licenses/by/4.0/>`_
|
*From James and Robson (2014), `CC BY 4.0 <https://creativecommons.org/licenses/by/4.0/>`_*
|
||||||
|
|
||||||
Creating Digital Elevation Models
|
Creating Digital Elevation Models
|
||||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||||
|
|
Ładowanie…
Reference in New Issue