Agisoft Metashape

Additional features

Photogrammetric Triangulation

A technique used to determine the 3D coordinates of points on an object or surface by analyzing multiple photographs taken from different angles. This process involves triangulating these points to create an accurate spatial representation.

Dense Point Cloud

Generates a detailed collection of 3D data points from imaging or scanning technologies. This high-density point cloud provides a comprehensive and precise representation of surfaces and objects, essential for creating accurate 3D models.

Digital Elevation Model (DEM)

Creates a 3D model that represents the elevation of terrain surfaces. DEMs are used for topographic analysis, flood modeling, and other applications that require accurate terrain elevation data.

Georeferenced Orthomosaic

Produces a high-resolution map by stitching together multiple aerial images, each accurately aligned with geographic coordinates. This orthomosaic provides precise spatial information for mapping and geospatial analysis.

LiDAR Data Support

Integrates and processes LiDAR (Light Detection and Ranging) data, which captures detailed and accurate measurements of surface distances using laser scanning. This support enhances the precision of 3D modeling and terrain analysis.

Ground Control Points/Scale Bar Support

Incorporates ground control points and scale bars to ensure the accuracy and scale of photogrammetric models. These reference points help align and validate the spatial data, improving measurement precision.

Measurements

Provides tools for performing various types of measurements, such as distances, areas, and volumes, directly on 3D models or geospatial data. This feature is essential for detailed analysis and reporting.

Stereoscopic Measurements

Enables 3D measurements through stereoscopic techniques, which involve viewing and analyzing images from different perspectives to determine spatial relationships and dimensions accurately.

3D Model Generation and Texturing

Converts point clouds or photographic data into detailed 3D models and applies textures to simulate realistic appearances. This feature is crucial for creating visually accurate and detailed representations of objects or environments.

Hierarchical Tiled Model Generation

Creates a hierarchical structure of 3D models organized in tiles, allowing efficient management and rendering of large-scale models. This approach improves performance and responsiveness for viewing and interacting with complex 3D data.

4D Modeling

Extends 3D modeling to include the dimension of time, creating 4D models that represent dynamic changes in scenes over time. This feature is valuable for analyzing temporal changes in environments or processes.

Panorama Stitching

Combines multiple overlapping images into a single, wide-angle panoramic view. This technique is useful for creating comprehensive visual representations of large areas or detailed views.

Multispectral Imagery

Processes images captured across multiple spectral bands (e.g., visible, infrared) to extract detailed information about surfaces and objects. This imagery is used for applications such as vegetation analysis and environmental monitoring.

Automatic Powerlines Detection

Automatically identifies and maps powerlines from aerial or satellite imagery using specialized algorithms. This feature supports infrastructure management and maintenance planning.

Satellite Imagery Processing

Analyzes and processes images captured by satellites to extract valuable information about large geographic areas. This processing supports applications like land use analysis and environmental monitoring.

Python and Java API

Provides APIs for Python and Java, allowing developers to integrate and customize the software’s functionalities. This capability supports automation and the creation of tailored solutions for specific needs.

Network Processing

Facilitates the distribution of processing tasks across networked systems, improving efficiency and performance in handling large datasets and complex computations.

Cloud Processing

Utilizes cloud-based systems for processing tasks, offering scalability and flexibility for managing and analyzing extensive data. Cloud processing enhances collaboration and access to computational resources.