Feature Description
Block network adjustment is a high-precision geometric correction method. Based on tie points measured within a stereo or planar block and ground control points, it calculates the orientation parameters of satellite images through adjustment. This method effectively eliminates systematic and random errors and is suitable for scenarios involving large-area image coverage or mosaicking of multiple images.
Supported starting from version 11i(2023) of SuperMap iDesktopX.
Functional Entry
Satellite Image Processing Tab -> Geometric Correction Group -> Block Network Adjustment.
Parameter Description
- Input Image Type: The default images are sourced from the original image mosaic dataset. Here, you need to select the image type from the original image mosaic dataset that will participate in the block network adjustment. Five types are available: Panchromatic Image, Multispectral Image, Forward-looking Image, Rear-view Image, and Front View and Rear View Image. The default is Panchromatic Image.
- Refer to the Adjustment File: When performing adjustment processing on different batches of images for the same area, you can use the adjustment file from a previously processed batch to ensure the edge matching accuracy and plane accuracy of the current batch are close to that of the existing results. Use the Add and Delete buttons on the toolbar to conveniently manage multiple referenced adjustment files.
- Adjustment Mode: Select the specific adjustment solution method. Two options are provided: Do Not Constrain Tie Point Elevation and Constrain Tie Point Elevation. The default is Constrain Tie Point Elevation.
- Do Not Constrain Tie Point Elevation: Does not update elevation; directly uses the initial elevation values of the tie points.
- Constrain Tie Point Elevation: Updates the elevation values of tie points based on the adjustment results, iterating cyclically.
- Correction Model Type: Options include Linear RPC Correction Model, Quadratic Polynomial RPC Correction Model, and Cubic Polynomial RPC Correction Model. The default is Linear RPC Correction Model.
- Linear RPC Correction Model: Suitable for images with minimal internal distortion. This model requires at least 4 ground control points. Please add control point information via the Manage Ground Control Points function.
- Quadratic Polynomial RPC Correction Model: Suitable for images with moderate internal distortion. This model requires at least 9 ground control points. Please add control point information via the Manage Ground Control Points function.
- Cubic Polynomial RPC Correction Model: Suitable for images with significant internal distortion. This model requires at least 16 ground control points. Please add control point information via the Manage Ground Control Points function.
- Result RPC Path: Select the save path for the adjustment results. The default path is the /Adjustment/BlockAdjustment folder within the image processing workflow's directory.
- Default Adjustment File Path: The adjustment file is used to store the path information of the images and RPC files participating in this adjustment. The storage format is *.csv.
- Checked: The default path and filename are [Image Processing Workflow Directory]/Adjustment/BlockAdjustment/AdjustmentFile.csv.
- Unchecked: The default path and filename are [Installation Package Path]/AdjustmentFile.csv.
Tip:After the function is successfully executed, detailed adjustment information and the adjustment file path will be displayed in the output window. Click the path in the information to open the file directly.
Related Topics
Generate Ground Control Points