Block Adjustment

Instructions for Use

Block adjustment is a high-precision geometric correction method that calculates the orientation parameters of satellite images based on tie points and ground control points measured within a stereo or planar block. This method effectively eliminates systematic and random errors, making it suitable for large-area image coverage or multi-image mosaic processing scenarios.

SuperMap iDesktopX11i(2023) version starts to support this feature.

Parameter Description

Parameter Name Parameter Interpretation Parameter Type
Dataset

Displays the dataset containing the images used for adjustment. This field is not editable.

 DatasetMosaic
Input Image Type Select the image type for adjustment. The default is Panchromatic Image, but it can be switched to Multispectral Image, Forward-looking Image, Rear-view Image, or Front View and Rear View Image based on specific needs. ComboBoxImageType
Refer to the Adjustment File

Uses existing adjustment file information to make the edge matching accuracy and plane accuracy of the current adjustment results closer to the existing accuracy.

Use the Add and Delete buttons on the toolbar to conveniently manage multiple reference adjustment files.

The reference adjustment file is generated from the previous block adjustment.

 ReferenceFileData
Adjustment Mode

Select the specific adjustment calculation method. The default is Constrained Tie Point Elevation.

  • Unconstrained Tie Point Elevation: Does not update elevation; directly uses the initial elevation value of tie points.
  • Constrained Tie Point Elevation: Updates the elevation value of tie points based on the adjustment results through iterative cycles.
 BlockAdjustmentType
Result RPC Path

Displays the storage path for the result RPC file. This field is not editable.

For DOM production workflows, the default value is Set Image Path中的Processing path/Adjustment/BlockAdjustment.

For DSM production workflows, the default value is Set Image Path (DSM/DEM)中的Processing path/Adjustment/BlockAdjustment.

 File
Default Adjustment File Path

The adjustment file stores information about the images and RPC file paths involved in the adjustment, with a storage format of *.csv.

  • Checked: For DOM production workflows, the default value is Set Image Path中的Processing path/Adjustment/BlockAdjustment/AdjustmentFile.csv. For DSM production workflows, the default value is Set Image Path (DSM/DEM)中的Processing path/Adjustment/BlockAdjustment/AdjustmentFile.csv.
  • Unchecked: Allows custom adjustment file path information.
 Boolean
Adjustment File Path

Available when Default Adjustment File Path is unchecked.

Specifies the path for storing the result adjustment file.

 File
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. Use the Manage Ground Control Points function to add control point information.
  • Quadratic Polynomial RPC Correction Model: Suitable for images with moderate internal distortion. This model requires at least 9 ground control points. Use the Manage Ground Control Points function to add control point information.
  • Cubic Polynomial RPC Correction Model: Suitable for images with significant internal distortion. This model requires at least 16 ground control points. Use the Manage Ground Control Points function to add control point information.
 CorrectedModelType

Output Result

Outputs the result RPC file (*.rpb) and the adjustment file (*.csv) storing RPC and image information.

Related Topics

Set Image Path

Set Image Path (DSM/DEM)

Generate Tie Points

Generate Ground Control Points

Block Adjustment