A Digital Surface Model (DSM) represents the earth's surface morphology through a series of discrete or regular 3D coordinate points, including natural and artificial features such as tree canopies and buildings. A Digital Elevation Model (DEM) refers to a dataset that uses elevation values of regular grid points to represent terrain undulations. As fundamental geospatial data, DSM and DEM hold extensive application value in Geographic Information Systems (GIS) and remote sensing, with use cases spanning forest resource monitoring, urban spatial planning, aviation infrastructure development, and military terrain analysis.
The DSM/DEM Production Workflow primarily utilizes stereo image pairs to generate point cloud data through dense matching algorithms, ultimately producing standardized data products via interpolation.
Navigate to the Imagery tab -> Production Workflow group -> Panchromatic/Multispectral Images dropdown menu, then select DSM/DEM Production Workflow to access the predefined workflow.
The workflow components are described as follows:
- Set Image Path (DSM/DEM): Configure original images, reference images, and result data processing paths.
- Generate Tie Points: Automatically creates tie points in overlapping image areas to align multiple satellite images through mosaicking and adjustment, ensuring geometric consistency.
- Generate Ground Control Points: Produces ground control points based on image features for high-precision geometric correction and positional alignment, guaranteeing geolocation accuracy.
- Block Adjustment: Calculates satellite image orientation parameters through adjustment computations using tie points and ground control points.
- Generate DSM: Produces point cloud data via dense matching algorithms and generates DSM data through interpolation.
- Filter DSM: Applies filtering to remove surface features such as buildings and vegetation from DSM data.
- Merge DSM/DEM: Combines multiple DSM or DEM datasets for unified output.
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| Figure: DSM/DEM Data Production Process |
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