Photogrammetry

Every site is worth a thousand pictures.

Photogrammetry uses sophisticated algorithms to extract minute features from each inspection photo, correlate and triangulate these features, and warp and stitch the photos seamlessly into high fidelity 3D reality models.

Photogrammetry

Every site is worth a thousand pictures.

Photogrammetry uses sophisticated algorithms to extract minute features from each inspection photo, correlate and triangulate these features, and warp and stitch the photos seamlessly into high fidelity 3D reality models.

Comparing photogrammetry and LiDAR

The Skyfish team has been comparing advances in Photogrammetry vs. LiDAR for the last 6 years. While we have seen major leaps forward in both technologies, for the popular customer application of accurately measuring and maintaining critical infrastructure (cell towers, powerlines, wind turbines, bridges, and dams) and creating digital twin 3D models, we believe that photogrammetry is far superior.

Photogrammetry has enjoyed a significant advancement of its rendering techniques and rendering accuracy, and based on our experience, this is derived from the careful methodologies used in data collection. The old data quality adage, “garbage in equals garbage out” is extremely relevant here. The path of the pictures of the target assets must be programmed thoughtfully for the best quality data and image set to 3D model. Skyfish makes this easy for our customers with our best-in-class flight planning software and our powerful onboard computer, Skymind™ – Engineering grade for your meticulous data and image requirements.

Photogrammetry

// More forgiving than LiDAR and less sensitive to vibrations in the data gathering phase

// Leverages benefits from advances in digital sensors, allowing for (statistically validated) better accuracy within a model with increased pixel count

LiDAR

// Relies on expensive IMU technology, which integrates with real-time geotagging/computer devices that are extremely sensitive to movement

// Requires an additional sensor and extra processing to create a less refined, less accurate model

// LiDAR can penetrate foliage, so its value is unmatched in cases of dense canopy vegetation. Skyfish supports the GeoCue TrueView LiDAR system out-of-the-box and can also integrate with most other LiDAR units

Comparing photogrammetry and LiDAR

The Skyfish team has been comparing advances in Photogrammetry vs. LiDAR for the last 6 years. While we have seen major leaps forward in both technologies, for the popular customer application of accurately measuring and maintaining critical infrastructure (cell towers, powerlines, wind turbines, bridges, and dams) and creating digital twin 3D models, we believe that photogrammetry is far superior.

Photogrammetry has enjoyed a significant advancement of its rendering techniques and rendering accuracy, and based on our experience, this is derived from the careful methodologies used in data collection. The old data quality adage, “garbage in equals garbage out” is extremely relevant here. The path of the pictures of the target assets must be programmed thoughtfully for the best quality data and image set to 3D model. Skyfish makes this easy for our customers with our best-in-class flight planning software and our powerful onboard computer, Skymind™ – Engineering grade for your meticulous data and image requirements.

Photogrammetry

// More forgiving than LiDAR and less sensitive to vibrations in the data gathering phase

// Leverages benefits from advances in digital sensors, allowing for (statistically validated) better accuracy within a model with increased pixel count

LiDAR

// Relies on expensive IMU technology, which integrates with real-time geotagging/computer devices that are extremely sensitive to movement

// Requires an additional sensor and extra processing to create a less refined, less accurate model

// LiDAR can penetrate foliage, so its value is unmatched in cases of dense canopy vegetation. Skyfish supports the GeoCue TrueView LiDAR system out-of-the-box and can also integrate with most other LiDAR units

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