Remote Sensing

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• Change Vector Analysis

  wasm

  Compares multispectral images from two dates and generates per-pixel change vectors to locate and characterize changes.

• Image Difference Change Detection

  wasm

  Detects changes from the difference between images.

• PCA-Based Change Detection

  wasm

  Detects image changes using principal components to localize modifications between temporal observations.

• Post-Classification Change

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  Compares classes between dates to identify changes between temporal observations.

• Write Function Memory Insertion

  wasm

  Inserts a memory function into multitemporal analysis to detect persistent changes between images.

• Evaluate Training Sites

  wasm

  Examines spectral signature overlap between training regions or samples of different classes before image classification.

• Fuzzy KNN Classification

  wasm

  Classifies pixels using K nearest neighbors with fuzzy membership.

• Generalize Classified Raster

  wasm

  Simplifies classified regions by removing small patches and isolated edges.

• Generalize With Similarity

  wasm

  Generalizes a raster using similarity between classes.

• K-Means Clustering

  wasm

  Groups pixels into K classes via iterative means.

• KNN Classification

  wasm

  Classifies pixels using the K nearest neighbors.

• KNN Regression

  wasm

  Estimates continuous values using the K nearest neighbors.

• Logistic Regression

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  Fits a logistic model from image variables to estimate probability of class membership.

• Min Dist Classification

  wasm

  Classifies pixels by minimum distance to class signatures.

• Modified K-Means Clustering

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  Clusters pixels using a modified variant of K-means.

• NND Classification

  wasm

  Classifies pixels by normalized distance to training signatures.

• Otsu Thresholding

  wasm

  Separates classes using automatic Otsu thresholding.

• Parallelepiped Classification

  wasm

  Classifies pixels using per-class value ranges.

• Random Forest Classification

  wasm

  Classifies pixels with a random forest trained from known samples.

• Random Forest Regression

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  Predicts continuous per-pixel values using a regression random forest.

• SVM Classification

  wasm

  Classifies pixels using support vector machines.

• SVM Regression

  wasm

  Estimates continuous values using support vector regression.

• Canny Edge Detection

  wasm

  Detects image edges with the Canny method and outputs an outline raster.

• Corner Detection

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  Identifies corner patterns in boolean images via template matching and outputs a corner raster.

• Laplacian Filter

  wasm

  Applies a Laplacian filter to an image and generates a filtered raster.

• Laplacian of Gaussians Filter

  wasm

  Applies a Laplacian of Gaussians filter to an image and generates a filtered raster.

• Prewitt Filter

  wasm

  Applies a Prewitt filter to an image and generates a filtered raster.

• Roberts Cross Filter

  wasm

  Applies a Roberts cross filter to an image and generates a filtered raster.

• Sobel Filter

  wasm

  Applies a Sobel filter to an image and generates a filtered raster.

• Balance Contrast Enhancement

  wasm

  Adjusts contrast of a multispectral composite by balancing tonal distributions across bands.

• Create Colour Composite

  wasm

  Creates a color composite to support enhancement and contrast tasks.

• Direct Decorrelation Stretch

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  Reduces correlation between bands and stretches contrast to highlight spectral differences.

• False Colour Composite

  wasm

  Combines selected bands into a false color composite to highlight land covers or phenomena.

• Gamma Correction

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  Adjusts brightness values with a gamma curve to lighten or darken tonal ranges.

• Gaussian Contrast Stretch

  wasm

  Redistributes values along a Gaussian curve to improve visual image contrast.

• Histogram Equalization

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  Redistributes values according to the histogram to increase image contrast.

• Histogram Matching

  wasm

  Adjusts the tonal distribution of an image to match a target histogram.

• Histogram Matching Two Images

  wasm

  Computes a histogram matching between two images to support enhancement and contrast tasks.

• IHS to RGB

  wasm

  Converts intensity, hue, and saturation components into red, green, and blue bands.

• Min Max Contrast Stretch

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  Stretches values between defined minimum and maximum to use the full display range.

• Mosaic

  wasm

  Combines multiple contiguous images into continuous coverage preserving pixel values.

• Mosaic With Feathering

  wasm

  Joins overlapping images with gradual edge transitions to reduce visible seams.

• Normalized Difference Index

  wasm

  Computes the normalized difference between two bands to highlight a specific spectral property.

• Panchromatic Sharpening

  wasm

  Fuses panchromatic detail with multispectral bands for higher spatial sharpness.

• Percentage Contrast Stretch

  wasm

  Clips extreme histogram percentages and stretches the central range of values.

• Piecewise Contrast Stretch

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  Applies a piecewise transformation to enhance selected tonal ranges.

• Resample

  wasm

  Changes image resolution or alignment using the selected resampling method.

• RGB to IHS

  wasm

  Converts red, green, and blue bands into intensity, hue, and saturation components.

• Sigmoidal Contrast Stretch

  wasm

  Applies a sigmoidal curve to increase contrast in the mid-range image values.

• Split Colour Composite

  wasm

  Separates a color composite into its individual bands for separate analysis.

• Standard Deviation Contrast Stretch

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  Stretches values around the mean using standard deviations to improve contrast.

• True Colour Composite

  wasm

  Combines visible red, green, and blue bands to approximate natural-color display.

• Adaptive Filter

  wasm

  Applies an adaptive filter to an image and outputs a filtered raster.

• Anisotropic Diffusion Filter

  wasm

  Applies an anisotropic diffusion filter to an image and outputs a filtered raster.

• Bilateral Filter

  wasm

  Applies a bilateral filter to an image and outputs a filtered raster.

• Closing

  wasm

  Applies dilation followed by erosion to close small gaps in a binary image.

• Conservative Smoothing Filter

  wasm

  Applies a conservative smoothing filter to an image and outputs a filtered raster.

• Diff Of Gaussians Filter

  wasm

  Applies the difference-of-Gaussians filter method to an image.

• Diversity Filter

  wasm

  Applies a diversity filter to an image and outputs a filtered raster.

• Edge Preserving Mean Filter

  wasm

  Applies an edge-preserving mean filter to an image and outputs a filtered raster.

• Emboss Filter

  wasm

  Applies an emboss filter to an image and outputs a filtered raster.

• Fast Almost Gaussian Filter

  wasm

  Applies a fast near-Gaussian filter to an image and outputs a filtered raster.

• Flip Image

  wasm

  Flips a raster about its horizontal or vertical axis, producing an inverted-orientation image.

• Frangi Filter

  wasm

  Applies a Frangi filter to an image and outputs a filtered raster.

• Gabor Filter Bank

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  Applies a Gabor filter bank method to an image.

• Gaussian Filter

  wasm

  Applies a Gaussian filter to an image and outputs a filtered raster.

• GLCM Texture

  wasm

  Computes texture measures via co-occurrence matrices to describe local image variation.

• Guided Filter

  wasm

  Applies a guided filter to an image and outputs a filtered raster.

• High Pass Bilateral Filter

  wasm

  Applies a high-pass bilateral filter to an image and outputs a filtered raster.

• High Pass Filter

  wasm

  Applies a high-pass filter to an image and outputs a filtered raster.

• High Pass Median Filter

  wasm

  Applies a high-pass median filter to an image and outputs a filtered raster.

• Integral Image Transform

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  Computes an integral image that accelerates rectangular sums over the original image.

• K Nearest Mean Filter

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  Smooths each pixel with the mean of its most similar neighbors to preserve edges.

• Kuwahara Filter

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  Applies a Kuwahara filter to an image and outputs a filtered raster.

• Lee Filter

  wasm

  Applies a Lee filter to an image and outputs a filtered raster.

• LiDAR Ground Point Filter

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  Classifies ground LiDAR points by removing vegetation and building returns.

• Line Detection Filter

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  Applies a line detection filter to an image and outputs a filtered raster.

• Line Thinning

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  Reduces raster lines to a one-pixel-wide central axis while preserving connectivity.

• Majority Filter

  wasm

  Applies a majority filter to an image and outputs a filtered raster.

• Maximum Filter

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  Applies a maximum filter to an image and outputs a filtered raster.

• Mean Filter

  wasm

  Applies a mean filter to an image and outputs a filtered raster.

• Median Filter

  wasm

  Applies a median filter to an image and outputs a filtered raster.

• Minimum Filter

  wasm

  Applies a minimum filter to an image and outputs a filtered raster.

• Non Local Means Filter

  wasm

  Applies a non-local means filter to an image and outputs a filtered raster.

• Olympic Filter

  wasm

  Applies an Olympic filter to an image and outputs a filtered raster.

• Opening

  wasm

  Applies erosion followed by dilation to remove small objects from a binary image.

• Percentile Filter

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  Applies a percentile filter to an image and outputs a filtered raster.

• Range Filter

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  Applies a range filter to an image and outputs a filtered raster.

• Remove Spurs

  wasm

  Removes short branches from raster lines to clean up skeletons and extracted networks.

• Savitzky Golay 2D Filter

  wasm

  Applies a Savitzky-Golay 2D filter to an image and outputs a filtered raster.

• Scharr Filter

  wasm

  Applies a Scharr filter to an image and outputs a filtered raster.

• Standard Deviation Filter

  wasm

  Applies a standard deviation filter to an image and outputs a filtered raster.

• Thicken Raster Line

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  Thickens linear cells in a raster to reinforce narrow or broken connections.

• Tophat Transform

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  Highlights small objects via the difference between the image and its morphological opening.

• Total Filter

  wasm

  Applies a total (sum) filter to an image and outputs a filtered raster.

• Unsharp Masking

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  Sharpens by combining the image with a blurred version to emphasize edges.

• User Defined Weights Filter

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  Applies a user-defined weights filter to an image and outputs a filtered raster.

• Wiener Filter

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  Applies an adaptive Wiener filter to reduce noise while preserving relevant image structures.

• Build Object Hierarchy Multiscale

  wasm

  Links coarse and fine segments to build a multiscale object hierarchy.

• Classify Objects Ensemble Pro

  wasm

  Classifies segments by combining multiple trained models and assigns each object a class.

• Classify Objects Random Forest

  wasm

  Classifies segments with a random forest trained from attributes and samples.

• Classify Objects Rules Basic

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  Assigns a class to each segment based on explicit rules over its attributes.

• Classify Objects Rules Hierarchical

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  Classifies segments by applying rules at user-defined hierarchical levels.

• Classify Objects SVM

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  Classifies segments using a support vector machine trained with samples.

• Evaluate Object Classification Accuracy

  wasm

  Compares predicted and reference classes to produce per-segment accuracy measures.

• Evaluate Segmentation Quality Pro

  wasm

  Compares segments against reference data to measure over- and under-segmentation.

• Image Segmentation

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  Splits images into homogeneous regions using threshold, step size, and minimum area parameters.

• Image Slider

  wasm

  Generates an HTML page with a slider to visually compare two images.

• Image Stack Profile

  wasm

  Generates profiles of values across multiple images at selected points.

• OBIA Audit Report Pro

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  Collects artifacts from an OBIA workflow into a reproducible audit report.

• OBIA Batch Orchestrator Pro

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  Runs a list of OBIA jobs in batch and logs their outputs.

• OBIA Pipeline Basic

  wasm

  Runs a basic segmentation and classification workflow from images and training data.

• Object Class Probability Maps

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  Converts per-segment class probabilities into spatial probability layers.

• Object Features Context Neighbors

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  Computes context attributes from each object's neighboring segments.

• Object Features Shape Basic

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  Computes segment shape characteristics such as size and compactness for object-based analysis.

• Object Features Spectral Basic

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  Computes spectral statistics of bands within each segment.

• Object Features Texture GLCM Basic

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  Computes GLCM texture metrics within each image segment.

• Object Features Topology Relations

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  Computes topological relations between segments, such as contact, containment, and adjacency.

• Object Uncertainty Diagnostics Pro

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  Identifies low-confidence segments from their classification probabilities.

• Objects Boundary Refinement Pro

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  Refines segment boundaries through iterations with a minimum object size.

• Objects Enforce Min Mapping Unit

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  Merges or adjusts segments smaller than the defined minimum mapping unit.

• Polygons To Segments

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  Converts polygons into a segment raster at the specified cell size.

• Propagate Labels Across Hierarchy

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  Transfers labels from parent to child segments using the object hierarchy.

• Segment Graph Felzenszwalb

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  Segments images with the Felzenszwalb method using scale, smoothing, and minimum area.

• Segment Multiresolution Hierarchical

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  Generates coarse and fine segments forming a multiresolution object hierarchy.

• Segment Scale Parameter Optimizer

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  Evaluates candidate segmentation scales and selects suitable parameters for the image.

• Segment SLIC Superpixels

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  Segments an image into compact superpixels controlling size, compactness, and minimum area.

• Segment Watershed Markers

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  Segments an image via marker-controlled watershed with gradient weighting.

• Segments Merge Small Regions

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  Merges small segmented regions based on selected minimum size and method.

• Segments Split Low Cohesion

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  Splits segments with low internal cohesion at the specified cut scale.

• Segments To Polygons

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  Converts a segment raster into polygons while retaining the selected field.

• BRDF Normalization

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  Applies BRDF normalization to an image.

• Correct Vignetting

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  Corrects edge darkening in an image to homogenize brightness.

• Dark Object Subtraction

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  Applies dark object subtraction atmospheric correction to an image.

• DN To TOA Reflectance

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  Converts digital numbers to top-of-atmosphere reflectance for an image.

• Terrain Corrected Optical Analytics

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  Performs optical analytics with terrain correction; supports radiometric correction tasks.

• Cloude Pottier Decomposition

  wasm

  Applies Cloude-Pottier decomposition to an image.

• Enhanced Lee Filter

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  Applies an enhanced Lee filter to an image and outputs a filtered raster.

• Freeman Durden Decomposition

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  Applies Freeman-Durden decomposition to an image.

• Frost Filter

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  Applies a Frost filter to an image and outputs a filtered raster.

• Gamma Map Filter

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  Applies a Gamma MAP filter to an image and outputs a filtered raster.

• H Alpha Wisart Classification

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  Applies H-alpha Wishart classification to an image.

• Kuan Filter

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  Applies a Kuan filter to an image and outputs a filtered raster.

• Refined Lee Filter

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  Applies a refined Lee filter to an image and outputs a filtered raster.

• Wisart Iterative Clustering

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  Applies Wishart iterative clustering to an image.

• Yamaguchi 4-Component Decomposition

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  Applies Yamaguchi four-component decomposition to an image.

• Continuum Removal

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  Normalizes image spectra against their continuum to highlight absorption features.

• Linear Spectral Unmixing

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  Applies linear spectral unmixing to an image.

• Minimum Noise Fraction

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  Transforms multispectral bands to concentrate signal and separate noise-dominated components.

• Spectral Angle Mapper

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  Applies the Spectral Angle Mapper method to an image.

• Spectral Library Matching

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  Applies spectral library matching to an image.

• Land Surface Temperature Single Channel

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  Estimates land surface temperature from a single thermal band.

• Land Surface Temperature Split Window

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  Estimates land surface temperature by combining two thermal bands.

• NDVI-Based Emissivity

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  Estimates surface emissivity from NDVI.