Image Analyst toolbox history—ArcGIS Pro

The tables below catalog changes made to every tool in the Image Analyst toolbox. There is one table per tool and you can click the tool name to navigate to the tool reference page.

For more information on how to interpret and use these tables, see the topic About the toolbox history tables.

Abs


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

ACos


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

ACosH


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Aggregate Multidimensional Raster


Version	Description
2.6	New environment added: pyramid
2.5	Parameter in_multidimensional_raster has 3 new data types: Mosaic Dataset Image Service Raster Dataset Parameter interval_keyword has 6 new options: RECURRING_MONTHLY PENTADLY DEKADLY RECURRING_WEEKLY RECURRING_QUARTERLY RECURRING_DAILY
2.4	New at this version

Analyze Changes Using CCDC


Version	Description
2.6	New at this version

ASin


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

ASinH


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

ATan


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

ATan2


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

ATanH


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Bitwise And


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Bitwise Left Shift


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Bitwise Not


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Bitwise Or


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Bitwise Right Shift


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Bitwise XOr


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Boolean And


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Boolean Not


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Boolean Or


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Boolean XOr


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Cell Statistics


Version	Description
2.5	New parameter added: process_as_multiband This parameter has two options: SINGLE_BAND for processing as single band, and MULTI_BAND for processing as multiband. The default is SINGLE_BAND.
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Classify Objects Using Deep Learning


Version	Description
2.6	Parameter in_raster has 2 new data types: Feature Class Feature Layer
2.5	New at this version

Classify Pixels Using Deep Learning


Version	Description
2.5	New parameter added: processing_mode Parameter in_raster has new data type: Folder
2.3	New at this version

Classify Raster


Version	Description
2.6	Parameter in_raster has 2 new data types: Mosaic Dataset Raster Dataset Parameter in_additional_raster has 2 new data types: Mosaic Dataset Raster Dataset
2.2	Parameter in_raster has 2 new data types: Image Service String Parameter in_additional_raster has 2 new data types: Image Service String
2.1	New at this version

Combinatorial And


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Combinatorial Or


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Combinatorial XOr


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Compute Confusion Matrix


Version	Description
2.1	New at this version

Compute Segment Attributes


Version	Description
2.1	New at this version

Con


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Cos


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

CosH


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Create Accuracy Assessment Points


Version	Description
2.1	New at this version

Deep Learning Model To Ecd


Version	Description
2.3	Deprecated
2.1	New at this version

Detect Change Using Change Analysis Raster


Version	Description
2.6	New at this version

Detect Objects Using Deep Learning


Version	Description
2.6	Parameter in_raster has 2 new data types: Feature Class Feature Layer
2.5	New parameter added: processing_mode Parameter in_raster has new data type: Folder
2.3	New at this version

Diff


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Divide


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Equal To


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Exp


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Exp10


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Exp2


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Export Training Data For Deep Learning


Version	Description
2.6	Default value for parameter metadata_format changed from KITTI_rectangles to PASCAL_VOC_rectangles
2.5	Moved from the Segmentation and Classification toolset to the Deep Learning toolset. 4 new parameters added: blacken_around_feature crop_mode process_all_raster_items reference_system
2.4	Two new parameters added: in_mask_polygons rotation_angle Parameter metadata_format had new option added: Labeled_Tiles
2.3	2 new parameters added: buffer_radius class_value_field Parameter in_raster has 4 new data types: Internet Tiled Layer Map Server Layer Raster Dataset MapServer Parameter metadata_format had new option added: RCNN_Masks Parameter in_class_data has 2 new data types: Feature Class Raster Dataset
2.2	New parameter added: start_index
2.1	New at this version

Extract Video Frames To Images


Version	Description
2.3	New at this version

Find Argument Statistics


Version	Description
2.6	New environment added: pyramid
2.5	New at this version

Float


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Focal Statistics


Version	Description
2.4	New option for the statistics_type parameter: PERCENTILE New parameter added: percentile_value. This parameter is only supported when the statistics type is set to percentile. The median option of statistics_type now supports float rasters as input. The output from median is now always Float.
2.3	Multi-core support added. Use the Parallel Processing Factor environment to control the number of cores used by the tool. New environment added: cellSizeProjectionMethod
2.1	New at this version

Generate Multidimensional Anomaly


Version	Description
2.6	New parameter added: reference_mean_raster Parameter calculation_interval had new option added: EXTERNAL_RASTER New environment added: pyramid
2.5	New parameter added: calculation_interval Parameter removed: temporal_interval Parameter order changed at parameter 5: Old parameter: temporal_interval New parameter: calculation_interval Parameter in_multidimensional_raster has 3 new data types: Mosaic Dataset Image Service Raster Dataset Parameter method has 4 new options: PERCENT_OF_MEDIAN DIFFERENCE_FROM_MEDIAN Z_SCORE PERCENT_DIFFERENCE_FROM_MEDIAN
2.4	New at this version

Generate Training Samples From Seed Points


Version	Description
2.1	New at this version

Generate Trend Raster


Version	Description
2.6	5 new parameters added: r2 rmse cycle_unit slope_p_value cycle_length New environment added: pyramid
2.5	New at this version

Greater Than


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Greater Than Equal


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

InList


Version	Description
2.3	New parameter added: process_as_multiband New environment added: cellSizeProjectionMethod
2.1	New at this version

Inspect Training Samples


Version	Description
2.1	New at this version

Int


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Is Null


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Less Than


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Less Than Equal


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Linear Spectral Unmixing


Version	Description
2.5	New at this version

Ln


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Log10


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Log2


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Minus


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Mod


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Negate


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Non Maximum Suppression


Version	Description
2.3	New at this version

Not Equal


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Over


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Pick


Version	Description
2.5	New parameter added: process_as_multiband This parameter has two options: unchecked (SINGLE_BAND in Python) for processing as single band, and checked (MULTI_BAND in Python) for processing as multiband. The default is SINGLE_BAND processing.
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Plus


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Power


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Predict Using Trend Raster


Version	Description
2.6	New environment added: pyramid
2.5	New at this version

Raster Calculator


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Remove Raster Segment Tiling Artifacts


Version	Description
2.1	New at this version

Round Down


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Round Up


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Sample


Version	Description
2.6	New parameter added: max_segment_size
2.6	New at this version

Segment Mean Shift


Version	Description
2.1	New at this version

Set Null


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Sin


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

SinH


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Square


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Square Root


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Tan


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

TanH


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Test


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Times


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Train Deep Learning Model


Version	Description
2.6	Parameter backbone_model has 17 new options: DENSENET121 DENSENET161 DENSENET169 DENSENET201 MOBILENET_V2 MASKRCNN50_FPN RESNET18 RESNET101 RESNET152 VGG11 VGG11_BN VGG13 VGG13_BN VGG16 VGG16_BN VGG19 VGG19_BN New parameter added: freeze.
2.5	New at this version

Train ISO Cluster Classifier


Version	Description
2.1	New at this version

Train Maximum Likelihood Classifier


Version	Description
2.6	New parameter added: dimension_value_field
2.1	New at this version

Train Random Trees Classifier


Version	Description
2.6	New parameter added: dimension_value_field Default value for parameter max_samples_per_class changed from 500 to 1000
2.1	New at this version

Train Support Vector Machine Classifier


Version	Description
2.6	New parameter added: dimension_value_field
2.1	New at this version

Update Accuracy Assessment Points


Version	Description
2.1	New at this version

Video Metadata To Feature Class


Version	Description
2.3	New at this version

Video Multiplexer


Version	Description
2.2	New at this version

Weighted Sum


Version	Description
2.3	New environment added: cellSizeProjectionMethod
2.1	New at this version

Zonal Statistics


Version	Description
2.6	New option for the statistics_type parameter: PERCENTILE New parameter added: percentile_value. This parameter is only supported when the statistics type is set to percentile.
2.5	New parameter added: process_as_multidimensional This parameter has two options: SINGLE_SLICE (Unchecked) for processing a single slice, and ALL_SLICES (Checked) for processing multiple slices. The default is SINGLE_SLICE.
2.3	New environment added: cellSizeProjectionMethod
2.2	There was a change in the default environment behavior when the zone input is a feature. The in_value_raster will now be used as the snap raster.
2.1	New at this version

Zonal Statistics as Table



2.6	New at this version

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