Photogrammetry Tutorials
QuickStart to STRIP Map Flight Planning
This short video will show how to create a STRIP Mapping Flight Plan from a typical client AOI or Centerline kml/shp file
INPHO Triangulation Tutorial Video SESSION 1
This is a lengthy video which is primarily Just walking through a project to refine the triangulation. Mostly silent.
INPHO Triangulation Tutorial Video SESSION 2
This is a lengthy video which is primarily Just walking through a project to refine the triangulation. Mostly silent.
Applanix POSPac Tutorial Video
This is a lengthy video that is primarily based on STRIP Mapping and the settings required to collect in STRIP Mapping mode. It also goes into detail about how to use POSPac Complete for Refined EO and L1-DG data.
Use the button below for the notes:
what is STRIP Mapping?
What is STRIP Mapping Video
STRIP Mapping is a novel approach developed by WingMan for efficient corridor mapping applications. Utilizing the Phase One PAS280 camera sensor mounted in an along-flight-path orientation, this method acquires portrait-style imagery, leveraging its 20,000-pixel along-track width (14,000 across-track). The core innovation lies in the seamless integration of three critical data streams: imagery, Global Navigation Satellite System (GNSS) data, and Inertial Measurement Unit (IMU) data. This integrated approach significantly enhances efficiency by reducing the need for multiple flight strips, thereby lowering overall mapping costs for utilities, pipelines, railways, and roads. A key finding is that the IMU-measured roll angle critically improves triangulation, a common challenge in single-image strip scenarios. Furthermore, this solution achieves superior color balance and remarkably reduces the number of images, seamlines, and orthorectification processing by 50%. STRIP Mapping presents a highly efficient, cost-effective, and technically advanced solution for high-precision corridor mapping, overcoming traditional limitations and streamlining post-processing workflows.
STRIP Mapping Sample Data
STRIP Mapping Sample Datasets
This link has raw STRIP Mapping data along with different levels of processing to view the advantages STRIP Mapped imagery.
Level-1 - Orthoready Pocessing Video (Coming Soon)
Creating a new IIQ processing project from the mission data in IX-Process for stitching and stacking rgbn files and output to ortho-ready L1 Tiff's with EXIF header and IMU/GNSS Attitude xls data files. Seamless integration of L1 data directly into Inpho or any photogrammetry software suite.
STRIP Mapping
STRIPmap Acquisition is purpose-built for the precise mapping of corridor features such as utility rights-of-way, pipelines, roads, and railways. When operated in STRIP mode, the sensor collects data at a resolution of 20,000 pixels along the track and 14,000 pixels across the track. This method significantly reduces the number of images and seamlines, enhancing the usability of image pixels within the defined corridor area of interest (AOI). Its effectiveness is further enhanced when integrated with LiDAR data.
For instance, when you compare the PAS 280 system in STRIP orientation to a Phase One 150 MP sensor (with 14,000 along-track by 10,000 across-track sensors), the PAS 280 is
50% more efficient.
Large format processing levels
Level-0 (Raw)
IIQfiles with basic metadata information, not stitched, can be utilized in advanced photogrammetry software like Correlator 3D, as well as in POSPac and during STRIP Mapping processes.
Level-1 (Ortho-ready)
Stitched and Stacked RGB or RGBN TIFF files are available, along with ortho-ready TIFF files that have EXIF embedded and a separate EO file provided. These files can be quickly loaded into photogrammetry software such as Trimble's Inpho or used in POSPac for efficient STRIP Mapping.
Level-2 (OrthoMosaic)
This is a final product tiled out to any AOI, projection, or compression using POSPac and incorporating STRIP Mapping.
Download STRIP Mapping Imagery
STRIP Mapping Sample Datasets
This link has raw STRIP Mapping data along with different levels of processing to view the advantages STRIP Mapped imagery.
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