Displays the original multispectral image data used for registration, not editable.

Available after checking Use Ortho Panchromatic Data.

Displays the dataset containing the orthorectified panchromatic image data, not editable.

The following six matching methods are provided. You can choose based on data characteristics and requirements. Among them, AFHORP and RIFT support multimodal data matching; CASP and DEEPFT are based on deep learning and require additional AI model configuration and CUDA environment installation. In general, MOTIF, CASP, or DEEPFT is recommended.

• MOTIF (Default): A template matching algorithm for multimodal images, characterized by lightweight feature descriptors. MOTIF can overcome nonlinear radiometric distortions caused by differences between SAR and optical images.
• CASP: A novel cascaded matching pipeline that benefits from integrating high-level features, helping to reduce the computational cost of low-level feature extraction. The pipeline decomposes the matching stage into two progressive stages: first, establishing one-to-many correspondences at a coarser scale as cascade priors, then using these priors to guide the determination of one-to-one matches at the target scale.^[1]
• DEEPFT: An image matching method based on deep learning.
• SIFT: A method for extracting distinctive invariant features from images, which can be used for reliable matching between objects or scenes under different viewpoints.
• RIFT: A feature matching algorithm robust to a wide range of nonlinear radiometric distortions. It improves the stability of feature detection and overcomes the limitations of gradient-based feature description.
• AFHORP: A feature matching algorithm for multimodal images. AFHORP is highly resistant to radiometric distortions and contrast differences in multimodal images, and performs well in addressing orientation reversal and phase extremum mutation issues.

Provides Linear RPC Correct the Model, Quadratic Polynomial RPC Correct the Model, and Cubic Polynomial RPC Correct the Model, with Linear RPC Correct the Model selected by default.

• Linear RPC Correct the Model: Suitable for images with small internal distortions. This model requires at least 4 ground control points. Please add control point information using the Manage Ground Control Points function.
• Quadratic Polynomial RPC Correct the Model: Suitable for images with moderate internal distortions. This model requires at least 9 ground control points. Please add control point information using the Manage Ground Control Points function.
• Cubic Polynomial RPC Correct the Model: Suitable for images with large internal distortions. This model requires at least 16 ground control points. Please add control point information using the Manage Ground Control Points function.

If executing a production workflow, use the Correct the Model parameter from the Block Adjustment function, which is not editable.

Specifies the method for determining the output resulting image resolution, with Original Resolution selected by default.

• Original Resolution: Retains the original resolution of the input image.
• Fixed Value: Uses the input fixed value as the resolution of the output image.
• Custom: Outputs different resolutions according to different satellite sensor types. After selecting the Custom option, the Custom Resolution: dialog box will appear. You can click the Add button on the toolbar to add a new row. Then click the cell in the Satellite Sensor Type column to select a sensor type. Finally, enter the resolution corresponding to the sensor type in the cell of the Resolution column.
  Notes:

  • If the corresponding satellite sensor type is not found, please select the USEDEFINE option. After selecting this option, the system will use the resolution corresponding to USEDEFINE to output data from all unsupported satellite sensor types.
  • If processing image data from multiple satellite sensor types simultaneously (e.g., ZY3, GF-2, LandSat) but only setting a resolution for one satellite sensor type (e.g., only ZY3), then images from other satellite sensor types (e.g., GF-2 and LandSat) will be output with their original resolutions.