If you write this yourself, because data access is critical it is important you use a parallel data store so the many-lane, parallel mosaic code you write doesn't jam up with one-lane read/write access to the data. You can do that faster in multiple CPU cores than dispatching up and down to GPU. All that is faster to parallelize using CPU parallelization since it is basically data access and simple comparisons, not mathematics. buy" decision of implementing parallel code yourself using FOSS or ArcPy or buying a commercial product like ERDAS or others that does it for you.īy the way, the GPU doesn't play a role in this since any cheapo graphics subsystem easily can handle the display end of it, and there isn't any significant computation involved in merging raster data that makes GPGPU parallelism worth it. If that works for you and you are happy with the speed parallelism provides, then you can consider the "make vs. Step by step example using space shuttle SRTM elevation rasters at - there's also a YouTube video version of that. Import your images (anything raster, like terrain elevation rasters, etc) into Viewer and then use the Merge Images dialog to merge them. Test the parallel approach using FOSS: Viewer is free from Parallel code takes time to write so it is wise to first test the idea to get a benchmark of how it might work for you, before you undertaken the effort of coding. In this example, it is the default option, First.Easy: Use parallel software. For Mosaic Colormap Mode, select the color map from the input rasters to apply to the mosaic output.In this example, it is the default option, Last. For Mosaic Operator, select the method used to merge overlapping raster datasets.For Number of Bands, specify the same value as the input.In the Layer Properties dialog box, click Source > Raster Information. Right-click the input raster dataset, and select Properties.Ģ. Use the following steps to determine raster information, such as pixel types and number of raster bands.ġ. For Pixel Type, specify the same value as the input.In this example, it is the same as the input reference, which is Deutsches_Hauptdreiecksnetz_Transverse_Mercator. For Spatial Reference for Raster, specify the spatial reference of the output layer.Refer to the Parameters section for the list of supported extensions. Do not specify any file extension behind the output name when storing the dataset in a geodatabase. Only specify the file extension when storing the raster dataset in a file format. In this example, it is Merge_MosaicToNewRaster. For Raster Dataset Name with Extension, specify the output name.For Output Location, specify the desired geodatabase.For Input Rasters, select all the raster datasets to merge.Refer to ArcGIS Pro: Parameters for more information on the syntax used. In the Mosaic To New Raster pane, configure the parameters as follows:.In ArcGIS Pro, open the geoprocessing tool, and search for Mosaic To New Raster.ProcedureĬhoose one of the methods described to merge multiple raster datasets into a new raster dataset in ArcGIS Pro. To merge multiple raster datasets into an existing raster dataset, use the Mosaic (Data Management) tool. Options available to mosaic overlapping areas It is not necessary for all raster input to have the same number of bands. All raster input must have the same number of bands. The output is not stored in any geodatabase.Īble to define the output extension when storing in a file format?Īble to process multidimensional raster layer? The output is stored in the geodatabase specified in the Output Location field.Ī new temporary raster dataset is displayed in the Contents pane. To merge multiple raster datasets in ArcMap, refer to How To: Merge multiple raster datasets into a new raster dataset in ArcMap.Ī new raster dataset is displayed in the Contents pane. In ArcGIS Pro, multiple raster datasets are merged using either the Mosaic To New Raster tool, or the Mosaic Rasters function. Multiple raster datasets are merged into a new raster dataset to aid in visualization and analysis of the study region. The larger the study area, the higher the number of raster datasets produced. Due to limitations in data extent capture by a single vehicle, multiple shots are taken to cover the study region. When modelling elevations, surfaces, or terrains, aerial vehicles (such as aircrafts or helicopters) are used to capture data of the study area. How To: Merge multiple raster datasets into a new raster dataset in ArcGIS Pro Summary
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