Image Analyst toolbox history

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

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

ACos

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

ACosH

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Aggregate Multidimensional Raster

VersionDescription

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

VersionDescription

2.6

New at this version

Analyze Changes Using LandTrendr

VersionDescription

2.7

New at this version

ASin

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

ASinH

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

ATan

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

ATan2

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

ATanH

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Bitwise And

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Bitwise Left Shift

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Bitwise Not

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Bitwise Or

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Bitwise Right Shift

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Bitwise XOr

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Boolean And

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Boolean Not

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Boolean Or

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Boolean XOr

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Cell Statistics

VersionDescription

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

VersionDescription

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

VersionDescription

2.7

New parameter added: out_classified_folder

2.5

New parameter added: processing_mode

Parameter in_raster has new data type: Folder

2.3

New at this version

Classify Raster

VersionDescription

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

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Combinatorial Or

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Combinatorial XOr

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Compute Accuracy For Object Detection

VersionDescription

2.7

New at this version

Compute Change Raster

VersionDescription

2.7

New at this version

Compute Confusion Matrix

VersionDescription

2.1

New at this version

Compute Segment Attributes

VersionDescription

2.1

New at this version

Con

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Cos

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

CosH

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Create Accuracy Assessment Points

VersionDescription

2.1

New at this version

Deep Learning Model To Ecd

VersionDescription

2.3

Deprecated

2.1

New at this version

Detect Change Using Change Analysis Raster

VersionDescription

2.7

11 new parameters added:

  • filter_by_year
  • segment_date
  • min_duration
  • min_year
  • max_magnitude
  • change_direction
  • max_year
  • min_magnitude
  • filter_by_duration
  • max_duration
  • filter_by_magnitude

Parameter change_type has 4 new options:

  • TIME_OF_FASTEST_CHANGE
  • TIME_OF_SHORTEST_CHANGE
  • TIME_OF_LONGEST_CHANGE
  • TIME_OF_SLOWEST_CHANGE

2.6

New at this version

Detect Objects Using Deep Learning

VersionDescription

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

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Divide

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Equal To

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Exp

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Exp10

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Exp2

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Export Training Data For Deep Learning

VersionDescription

2.7

Parameter metadata_format had 2 new options:

  • MultiLabeled_Tiles
  • Export_Tiles

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

VersionDescription

2.3

New at this version

Find Argument Statistics

VersionDescription

2.6

New environment added: pyramid

2.5

New at this version

Float

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Focal Statistics

VersionDescription

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

VersionDescription

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

VersionDescription

2.1

New at this version

Generate Trend Raster

VersionDescription

2.7

New parameter added: seasonal_period

Parameter line_type has 2 new options:

  • MANN-KENDALL
  • SEASONAL-KENDALL

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

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Greater Than Equal

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

InList

VersionDescription

2.3

New parameter added: process_as_multiband

New environment added: cellSizeProjectionMethod

2.1

New at this version

Inspect Training Samples

VersionDescription

2.1

New at this version

Int

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Is Null

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Less Than

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Less Than Equal

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Linear Spectral Unmixing

VersionDescription

2.5

New at this version

Ln

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Log10

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Log2

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Minus

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Mod

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Negate

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Non Maximum Suppression

VersionDescription

2.3

New at this version

Not Equal

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Over

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Pick

VersionDescription

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

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Power

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Predict Using Trend Raster

VersionDescription

2.6

New environment added: pyramid

2.5

New at this version

Raster Calculator

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Remove Raster Segment Tiling Artifacts

VersionDescription

2.1

New at this version

Round Down

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Round Up

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Sample

VersionDescription

2.6

New parameter added: max_segment_size

2.6

New at this version

Segment Mean Shift

VersionDescription

2.1

New at this version

Set Null

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Sin

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

SinH

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Square

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Square Root

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Summarize Categorical Raster

VersionDescription

2.7

New at this version

Tan

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

TanH

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Test

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Times

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Train Deep Learning Model

VersionDescription

2.7

Parameter model_type has 3 new options:

  • FASTERRCNN
  • YOLOV3
  • DEEPLAB
.

Parameter backbone_model has new option, DARKNET53.

Parameter pretrained_model now supports a deep learning packe file (.dlpk).

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

VersionDescription

2.1

New at this version

Train Maximum Likelihood Classifier

VersionDescription

2.6

New parameter added: dimension_value_field

2.1

New at this version

Train Random Trees Classifier

VersionDescription

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

VersionDescription

2.6

New parameter added: dimension_value_field

2.1

New at this version

Update Accuracy Assessment Points

VersionDescription

2.1

New at this version

Video Metadata To Feature Class

VersionDescription

2.3

New at this version

Video Multiplexer

VersionDescription

2.2

New at this version

Weighted Sum

VersionDescription

2.3

New environment added: cellSizeProjectionMethod

2.1

New at this version

Zonal Statistics

VersionDescription

2.7

New parameter added: percentile_interpolation_type

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 is now used as the snap raster.

2.1

New at this version

Zonal Statistics as Table

2.7

New parameter added: percentile_interpolation_type

2.6

New at this version