OTB.FineRegistration: Estimate disparity map between two images.
This application computes a disparity map between two images that correspond to the same scene. It is intended for case where small misregistration between images should be estimated and fixed. The search is performed in 2D.The algorithm uses an iterative approach to estimate a best match between local patches. The typical use case is registration betwween similar bands, or between two acquisitions. The output image contains X and Y offsets, as well as the metric value. A sub-pixel accuracy can be expected. The input images should have the same size and same physical space.
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{"id": "OTB.FineRegistration", "title": "Estimate disparity map between two images.", "description": "This application computes a disparity map between two images that correspond to the same scene. It is intended for case where small misregistration between images should be estimated and fixed. The search is performed in 2D.The algorithm uses an iterative approach to estimate a best match between local patches. The typical use case is registration betwween similar bands, or between two acquisitions. The output image contains X and Y offsets, as well as the metric value. A sub-pixel accuracy can be expected. 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Parameter is gaussian sigma (in pixels) in Y direction.", "description": "Performs a gaussian smoothing of the secondary image. Parameter is gaussian sigma (in pixels) in Y direction.", "schema": {"type": "number", "nullable": true}, "id": "sgsy"}, "m": {"title": "Choose the metric used for block matching. Available metrics are cross-correlation (CC), cross-correlation with subtracted mean (CCSM), mean-square difference (MSD), mean reciprocal square difference (MRSD) and mutual information (MI). Default is cross-correlation", "description": "Choose the metric used for block matching. Available metrics are cross-correlation (CC), cross-correlation with subtracted mean (CCSM), mean-square difference (MSD), mean reciprocal square difference (MRSD) and mutual information (MI). Default is cross-correlation", "schema": {"type": "string", "default": "Any value", "nullable": true}, "id": "m"}, "spa": {"title": "Metric extrema location will be refined up to the given accuracy. 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This mask will be the 4th output band.", "schema": {"type": "number", "nullable": true}, "id": "vmut"}, "ram": {"title": "Available memory for processing (in MB)", "description": "Available memory for processing (in MB)", "schema": {"type": "integer", "default": 128, "nullable": true}, "id": "ram"}}, "outputs": {"out": {"title": "The output image contains 3 bands, for X offset, Y offset and the metric value. It may contain a 4th one with the validity mask (if used).", "description": "The output image contains 3 bands, for X offset, Y offset and the metric value. 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http://tb17.geolabs.fr:8111/ogc-api/processes/OTB.FineRegistration.html Last modified: Sat Dec 4 00:09:36 CET 2021