Here is a description of the available processing templates:
|
Processing Options Template |
Characteristics |
Outputs generated |
|---|---|---|
| Standard | ||
| 3D Maps | Generates a 3D map (point cloud, 3D textured mesh), as well as a DSM and an orthomosaic. Image acquisition: nadir or oblique flight. Typical input: aerial images acquired using a grid flight plan with high overlap. Outputs quality/reliability: high. Processing speed: slow. Application examples: quarries, cadaster, etc. |
Orthomosaic DSM 3D Mesh Point Cloud |
| 3D Models | Generates a 3D model (point cloud, 3D textured mesh). Image acquisition: oblique flight or terrestrial. Typical input: any images with high overlap. Outputs quality/reliability: high. Processing speed: slow. Application examples: 3D models of buildings, objects, ground imagery, indoor imagery, inspection, etc. |
3D Mesh Point Cloud
|
| Ag Multispectral | Generates reflectance, index (such as NDVI), classification and application maps. Image acquisition: nadir flight with a multispectral camera. Typical input: images taken with a multispectral camera (Sequoia, Micasense RedEdge, Multispec 4C, etc). Outputs quality/reliability: high. Processing speed: slow. Application examples: precision agriculture. |
Reflectance Map Index Map Application Map |
| Rapid | ||
| 3D Maps - Rapid/Low Res | Faster processing of the 3D Maps template for assessing the quality of the acquired dataset. Outputs quality/reliability: low. Processing speed: fast. |
Orthomosaic DSM 3D Mesh Point Cloud |
| 3D Models - Rapid/Low Res | Faster processing of the 3D Models template for assessing the quality of the acquired dataset. Output quality/reliability: low. Processing speed: fast. |
3D Mesh Point Cloud |
| Ag Modified Camera - Rapid/Low Res | Faster processing of the Ag Modified Camera template for assessing the quality of the acquired dataset. Output quality/reliability: low. Processing speed: fast. |
Reflectance Map Index Map Application Map |
| Ag RGB - Rapid/Low Res | Faster processing of the Ag RGB template for assessing the quality of the acquired dataset. Output quality/reliability: low. Processing speed: fast. |
Orthomosaic |
| Advanced | ||
| Ag Modified Camera | Generates reflectance, index (such as NDVI), classification and application maps. Image acquisition: nadir flight with a modified RGB camera. Typical input: images taken with a modified RGB camera. Outputs quality/reliability: high. Processing speed: slow. Application examples: precision agriculture. |
Reflectance Map Index Map Application Map |
| Ag RGB | Generates an orthomosaic for precision agriculture. Image acquisition: nadir flight over flat terrain with an RGB camera. Typical input: images taken with an RGB camera for agriculture (Sequoia RGB). Outputs quality/reliability: high. Processing speed: average. Application examples: digital scouting, report claiming for precision agriculture. |
Orthomosaic |
| Thermal Camera | Generates a thermal reflectance map. Image acquisition: nadir flight with a thermal camera. Typical input: images taken with a thermal camera (such as Tau 2 based cameras: FLIR Vue Pro, FLIR XT). Output quality/reliability: high. Processing speed: slow. |
Thermal Index Map |
| ThermoMAP Camera | Generates a thermal reflectance map. Image acquisition: nadir flight with a thermoMAP camera. Typical input: images taken with a thermoMAP camera. Output quality/reliability: high. Processing speed: slow. |
Thermal Index Map |
Note: In the window Processing Options Template, a section titled Personal appears above the Standard section when a new personal template has been created by the user.
noce
Hola
El software al procesar las imágenes realiza algún conteo automático de objetos?, ejemplo al realizar un estudio de capacidades carga de playa se necesita saber como dato la cantidad de personas que se encuentran y quisiera saber si este conteo se realiza automáticamente para así evitar el conteo manual
Estimado Ivis,
Muchas gracias por compartir esta interesante aplicación con nosotros. Pix4Dmapper no realiza un recuento automático de objetos. En Pix4Dmapper, se puede contar objetos manualmente (o semi-manualmente):
El primer método sería más preciso pero más lento, mientras que el segundo sería más rápido y más fácil pero menos preciso. Quizás puede sugerirnos esto como una nueva funcionalidad en uno de nuestros software. Para eso, se puede crear una sugerencia en nuestra comunidad: https://community.pix4d.com/t/how-to-vote-for-your-favorite-pix4dmapper-feature-requests-suggestions/10032 Estamos siempre monitoreando los requerimientos de nuestros usuarios.
Saludos,