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Thanks Kurt! Rather than features and functions, I wanted to call out applications that users of Reality Mapping address in their day-to-day operations.
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08-08-2023
12:18 PM
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ArcGIS Blog summarizing some real-world applications for Reality Mapping in Pro. https://www.esri.com/arcgis-blog/products/arcgis/imagery/reality-what-is-it-good-for/ Please add more applications, examples and details. And desired applications. Thanks!
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08-07-2023
08:34 AM
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Hello, "Exclude Region Intersections" is only active when there are more than 1 region in the map. The Selected Region will process the data, and any regions that intersect this will be excluded. Hint: You must click on Retain Regions to have more than one region available at one time.
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10-26-2021
06:54 AM
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Hello Emma. No, ArcGIS does not support Apparent Reflectance calibration of WorldView-3 data, which is quite different than WV-2. DigitalGlobe provides data corrected to surface reflectance, which is the best option. If you have existing uncorrected WV-3 data, I suggest contacting DigitalGlobe for advice.
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10-30-2020
07:26 AM
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Hi Taylor, If you used the classification wizard, all the bands in your input image were use in the classification. The bands displayed in the map are just for visualization, which can help you in selecting your training samples. Accuracy assessment - you cannot use any of your training samples as your reference samples for accuracy assessment. Ideally, these reference samples would be identified in a ground survey. If this is not possible, use the highest resolution imagery possible - preferably not the same imagery as the image you want to classify - to delineate your reference samples. The samples for the accuracy assessment need to be a separate layer, and would be input as the Reference Layer when defining the inputs at the beginning of the wizard. Best, Jeff
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04-01-2020
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Using your knowledge of geography, geospatial and remote sensing science, and using the image classification tools in ArcGIS, you have produced a pretty good classified raster for your project area. Now it’s time to clean up some of those pesky pixels that were misclassified – like that one pixel labelled “shrub” in the middle of your baseball diamond. The fun part is using the Pixel Editor to interactively edit your classified raster data to be useful and accurate. The resulting map can be used to drive operational applications such as land use inventory and management. For operational management of land use units, a useful classified map may not necessarily be the most accurate in terms of identified features. For example, a small clearing in a forest, cars in a parking lot, or a shed in a backyard are not managed differently than the larger surrounding land use. The Pixel Editor merges and reclassifies groups of pixels, objects and regions quickly and easily into units that can be managed similarly, and result in presentable and easy-to-understand maps for your decision support and management. What is the Pixel Editor? The Pixel Editor is an interactive group of tools that enables editing of raster data and imagery , and it is included with the ArcGIS Pro Image Analyst. It is a suite of image processing capability, driven by an effective user interface, that allows you to interactively manipulate pixel values. Try different operations using different parameter settings to achieve optimum editing results, then save, publish and share them. The Pixel Editor is contextual to the raster source type of the layer being edited, which means that suites of capability are turned on or off depending on the data type of the layer you are working with. For thematic data, you can reassign pixels, objects and regions to different classes, perform operations such as filtering, shrinking or expanding classes, masking, or even create and populate new classes. Edits can be saved, discarded, and reviewed in the Edits Log. Pixel Editor in action Because the Pixel Editor is contextual, you need to first load the layer you want to edit. Two datasets are loaded into ArcGIS Pro, the infrared source satellite image and the classified result. The source data is infrared satellite imagery where vegetation is depicted in shades of red depending on coverage and relative vigor. This layer has been classified using the Random Trees classifier in ArcGIS Pro. The class map needs editing to account for classification discrepancies and to support operational land use management. Launch the Pixel Editor To launch the Pixel Editor, select the classified raster layer in the Contents pane, go to the Imagery tab and click the Pixel Editor button from the Tools group. The Pixel Editor tab will open. In this example, we’ll be editing a land use map, so the editor will present you with editing tools relevant for thematic data. The Region group provides tools for delineating and managing a region of interest. The Edit group provides tools to perform specific operations to reclassify pixels, objects or regions of interest. The Edit group also provides the Operations gallery, which only works on Regions. Reclassify Reclassify is a great tool to reassign a group of pixels to a different class. In the example below, you can see from the multispectral image that either end of the track infield is in poor condition with very little vegetation, which resulted in that portion of the field being incorrectly classified. We want to reclassify these areas as turf, which is colored bright green in the classified dataset. We used the multispectral image as the backdrop to more easily digitize the field, then simply reassigned the incorrect class within the region of interest to the Turf class. Majority Filter and Expand Check out the parking lots south of the track field containing cars, which are undesirable in terms of classified land use. We removed the cars and make the entire parking lot Asphalt with a two-step process: (1) We digitized the parking lot and removed the cars with a Majority Filter operation with a filter size of 20 pixels – the size of the biggest cars in the lot. (2) Then we used Expand to reclassify any remaining pixels within the lot to Asphalt. Add a new class Another great feature of the Pixel Editor is the ability to add a new class to your classified raster. Here, we added a Water class to account for water features that we missed in the first classification. In the New Class drop-down menu, you can add a new class, provide its name, class codes, and define a color for the new class display. After adding the new class to the class schema, we used the Reclass Object tool to reassign the incorrect Shadow class to the correct Water class. Simply click the object you want to reclassify and encompass it within the circle - and voila! – the object is reclassified to Water. Feature to Region Sometimes you may have an existing polygon layer with more accurate class polygon boundaries. These could be building footprints, roads, wetland polygons, water bodies and more. Using the Feature to Region option you can easily create a region of pixels to edit by clicking on the desired feature from your feature layers in the map. Then use the Reclass by Feature tool to assign the proper class. We see the updated water body now matches the polygon feature from your feature class. The class was also changed from Shadow to its correct value, Water. Summary The Pixel Editor provides a fast, easy, interactive way to edit your classified rasters. You can edit groups of pixels and objects, and editing operations include reclassification using filtering, expanding and shrinking regions, or by simply selecting or digitizing the areas to reclassify. You can even add an entire new class. Try it out with your own data, and see how quickly you can transform a good classification data set into an effective management tool! Acknowledgement Thanks to the co-author, Eric Rice, for his contributions to this article.
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01-28-2020
05:30 AM
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Do you have blemishes in your image products, such as clouds and shadows that obscure interesting features, or DEMs that don’t represent bare earth? Or perhaps you want to obscure certain confidential features, or correct erroneous class information in your classmap. The Pixel Editor can help you improve your final image products. After you have conducted your scientific remote sensing and image analysis, your results need to be presented to your customers, constituents and stakeholders. Your final products need to be correct and convey the right information for decision support and management. The pixel editor helps you achieve this last important aspect of your workflow – effective presentation of results. Introducing the Pixel Editor The Pixel Editor, in the Image Analyst extension, provides a suite of tools to interactively manipulate pixel values for raster and imagery data. It allows you to edit an individual pixel or groups of pixels. The types of operations that you can perform depends on the data source type of your raster dataset. The Pixel Editor tools allows you to perform the following editing tasks on your raster datasets: Edit multispectral and single-band imagery. Edit elevation data to fill voids, and remove spikes or holes. Reclassify pixels, regions, or objects. Reclassify pixels using feature data. Use preset filters to smooth areas. Remove above ground features to create a bare earth elevation surface. Replace a cloudy region with another region of pixels. Obscure or redact confidential pixels Blog Series We will present a series of blogs addressing the robust capabilities of the Pixel Editor. We will focus on real-world practical applications for improving your imagery products, and provide tips and best practices for getting the most out of your imagery using the Pixel Editor. Stayed tuned for this interesting and worthwhile news. Your comments, inputs and application examples of the Pixel Editor capability are very welcome and appreciated!
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01-22-2020
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This video is MISB-compliant and suitable for use in the Esri FMV Add-In. The file combines the video data with the associated metadata in one file. LEGAL NOTICE: THIS DATA IS PROVIDED BY ESRI ONLY FOR THE PURPOSES OF USE WITHIN ArcGIS. IT MAY BE USED ONLY FOR TRAINING AND DEMONSTRATION OF FMV in ArcGIS. ANY OTHER USE IS A VIOLATION OF DATA COPYRIGHT.
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08-02-2016
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BTW, the .ecd file does not work with the histogram and scatterplot graphs on the classification toolbar. It is generated by a new generation of classifiers that use the segmentation info as well as the spectral info. All the capability will be integrated and really sing in a later release of Pro (soon!). Also, I forgot to mention that for the Segment mean shift tool you should set your "spectral detail" parameter high, 18-20 and the spatial detail can be left at the default or maybe lower, try out some different settings in the Raster function.
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10-26-2015
09:42 AM
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Hi. (1) What I recommend is to segment the WV2 imagery at an appropriate scale (min segment size of about 20, use the raster function to try different minimum mapping sizes), then once you are happy with your segmentation settings (as a raster function) run the segment mean shift GP tool with those settings. (2) Remember, before you segment the WV2 image, to enhance it so that your features of interest are visually discernible - make those dead trees pop out of the imagery (and any other features of interest)!. (3) Then collect training sites by choosing the segmented raster file/layer in the classification toolbar, but display the L8 imagery in the ToC. So you will use the spectral info of the Landsat to choose your training, coupled with the segmented objects to get accurate training samples (i.e., the training sample polygons will be from the segmented image. Then classify the imagery using the Train SVM GP tool:P (a) segmented image, (b) Landsat imagery (all bands (except QA band etc)) maybe adding a DEM (NED 10m) composited into one image (the second image input), and (c) training file. Then (d), Classify Raster GP tool with the same inputs (in the same order) using the .ecd file from the train gp tool. Happy Classifying! Jeff
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10-26-2015
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1 | 08-02-2016 04:38 PM |
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