Generated: 2026-06-04
Workspace: wbtools_oss
Task: Documentation Enhancement - Tool Inventory Collection
| Category | Count | Extracted | Status |
|---|---|---|---|
| Convolution Filters | 4 | ✅ 4/4 | 100% Complete |
| Rank-Based Filters | 4 | ✅ 4/4 | 100% Complete |
| Window Statistics | 6 | ✅ 6/6 | 100% Complete |
| Phase 3 (Advanced) | 13 | ✅ 13/13 | 100% Complete |
| Gaussian Filter | 1 | ✅ 1/1 | 100% Complete |
| Bilateral Filter | 2 | ✅ 2/2 | 100% Complete |
| Advanced Filters | 12 | ✅ 12/12 | 100% Complete |
| Convolution Extra | 5 | ✅ 5/5 | 100% Complete |
| Non-Filter Basic | 22 | ✅ 22/22 | 100% Complete |
| Filters Subtotal | 69 | ✅ 69/69 | 100% |
| Radiometric Tools | 18+ | ⏳ 0 | Pending |
| OBIA Tools | 30+ | ⏳ 0 | Pending |
| Texture/GLCM | 1 | ⏳ 0 | Pending |
| Geospatial Tools | 4 | ⏳ 0 | Pending |
| Total Inventory | ~122 | 69 | ~57% |
- High-Pass Filter
- Laplacian Filter
- Sobel Filter
- Prewitt Filter
- Scharr Filter
- Roberts Cross Filter
- Line Detection Filter
- Canny Edge Detection
- Laplacian of Gaussians Filter
- Mean Filter
- Total Filter
- Standard Deviation Filter
- Minimum Filter
- Maximum Filter
- Range Filter
- Median Filter
- Percentile Filter
- Majority Filter
- Diversity Filter
- Adaptive Filter
- Olympic Filter
- K-Nearest Mean Filter
- Gaussian Filter
- Bilateral Filter
- High-Pass Bilateral Filter
- Fast Almost Gaussian Filter
- Edge Preserving Mean Filter
- Unsharp Masking
- Difference of Gaussians Filter
- Lee Filter
- Refined Lee Filter
- Enhanced Lee Filter
- Conservative Smoothing Filter
- High-Pass Median Filter
- Frost Filter (Radar)
- Gamma-MAP Filter (Radar)
- Kuan Filter (Radar)
- Wiener Filter
- Non-Local Means Filter
- Kuwahara Filter
- Anisotropic Diffusion Filter
- Guided Filter
- Gabor Filter Bank
- Frangi Filter
- Savitzky-Golay 2D Filter
- User Defined Weights Filter
- Emboss Filter
- Tophat Transform
- Opening
- Closing
- Line Thinning
- Thicken Raster Line
- Remove Spurs
- Tophat Transform (Black/White variants)
- DN to TOA Reflectance
- Dark Object Subtraction
- Image Difference Change Detection
- PCA-based Change Detection
- Post-Classification Change
- Linear Spectral Unmixing
- Continuum Removal
- Spectral Angle Mapper
- Spectral Library Matching
- Minimum Noise Fraction
- NDVI-Based Emissivity
- Histogram Equalization
- Histogram Matching
- Histogram Matching Two Images
- Gaussian Contrast Stretch
- Min-Max Contrast Stretch
- Percentage Contrast Stretch
- Piecewise Contrast Stretch
- Sigmoidal Contrast Stretch
- Standard Deviation Contrast Stretch
- Direct Decorrelation Stretch
- Balance Contrast Enhancement
- Flip Image
- Integral Image Transform
- RGB to IHS
- IHS to RGB
- Create Colour Composite
- Otsu Thresholding
- Corner Detection
- Normalized Difference Index (NDVI, NDMI, etc.)
- Split Colour Composite
- Create Colour Composite
- KNN Classification
- KNN Regression
- Fuzzy KNN Classification
- Min-Distance Classification
- Parallelepiped Classification
- NND Classification
- Logistic Regression
- Random Forest Classification
- Random Forest Regression
- Random Forest Classification Fit/Predict
- Random Forest Regression Fit/Predict
- SVM Classification
- SVM Regression
- K-Means Clustering
- Modified K-Means Clustering
- Mosaic
- Mosaic with Feathering
- Resample
- Panchromatic Sharpening
- Generalize Classified Raster
- Generalize with Similarity
- Image Segmentation
- Change Vector Analysis
- Image Slider
- Image Stack Profile
- Evaluate Training Sites
- Correct Vignetting
- Segment SLIC Superpixels
- Segment Graph Felzenszwalb
- Segment Watershed Markers
- Segment Multiresolution Hierarchical
- Segment Scale Parameter Optimizer
- Segments Merge Small Regions
- Segments Split Low Cohesion
- Segments to Polygons
- Polygons to Segments
- Object Features Spectral Basic
- Object Features Shape Basic
- Object Features Texture GLCM Basic
- Object Features Context Neighbors
- Object Features Topology Relations
- Classify Objects Random Forest
- Classify Objects SVM
- Classify Objects Ensemble Pro
- Classify Objects Rules Basic
- Classify Objects Rules Hierarchical
- Object Class Probability Maps
- Build Object Hierarchy Multiscale
- Propagate Labels Across Hierarchy
- Evaluate Object Classification Accuracy
- Objects Enforce Min Mapping Unit
- Objects Boundary Refinement Pro
- Evaluate Segmentation Quality Pro
- OBIA Pipeline Basic
- OBIA Batch Orchestrator Pro
- OBIA Audit Report Pro
- Object Uncertainty Diagnostics Pro
- BRDF Normalization
- Terrain Corrected Optical Analytics
- Orthorectification
- Georeference Raster from Control Points
- Land Surface Temperature Single Channel
- Land Surface Temperature Split Window
- Cloude Pottier Decomposition (PolSAR)
- Freeman Durden Decomposition (PolSAR)
- Yamaguchi 4-Component Decomposition (PolSAR)
- H-Alpha Wisart Classification
- Wisart Iterative Clustering
- GLCM Texture
Each tool follows this pattern:
| Tool ID | Display Name | Category | Current Metadata.Summary | Current Manifest.Summary |
|---------|--------------|----------|-------------------------|--------------------------|
| `tool_id_name` | Display Name | Category | One-sentence summary | One-sentence summary || Tool ID | Display Name | Category | Metadata Summary | Manifest Summary |
|---|---|---|---|---|
sobel_filter |
Sobel Filter | Edge Detection | Performs Sobel edge detection. | Performs Sobel edge detection. |
gaussian_filter |
Gaussian Filter | Smoothing | Performs Gaussian smoothing on a raster image. | Performs Gaussian smoothing on a raster image. |
bilateral_filter |
Bilateral Filter | Smoothing | Performs an edge-preserving bilateral smoothing filter on a raster image. | Performs an edge-preserving bilateral smoothing filter on a raster image. |
✅ Completed:
- convolution_filters.rs — 4 tools
- rank_filters.rs — 4 tools
- window_stats_filters.rs — 6 tools
- phase3_filters.rs — 13 tools
- gaussian_filter.rs — 1 tool
- bilateral_filter.rs — 2 tools
- advanced_filters.rs — 12 tools
- convolution_extra_filters.rs — 5 tools
- non_filter_tools.rs — 22 tools (enum-based summaries extracted)
⏳ Pending:
- radiometric_tools.rs — 18+ tools
- obia_tools.rs — 30+ tools
- texture_glcm_tool.rs — 1 tool
- Specialized modules (brdf_normalization, terrain_corrected_optical, orthorectification, georeference_raster_from_control_points)
- Filter ID Format:
{operation}_{filter_type}(e.g.,sobel_filter,bilateral_filter,gaussian_filter) - Tool ID Format:
snake_case(e.g.,k_means_clustering,random_forest_classification) - Display Names: Title case with spaces (e.g., "Sobel Filter", "Bilateral Filter")
- Length: Typically 1–2 sentences
- Focus: What the tool does + primary use case
- Consistency: metadata.summary == manifest.summary in most cases
- Detail Level: Balanced between technical precision and accessibility
- Tools are primarily organized by operational type (filtering, classification, etc.)
- Secondary organization by domain (radar, multispectral, etc.)
- Cross-reference tags in tags vector for discoverability
-
Expand Summaries: Add 1–2 sentence elaboration describing:
- Primary input/output data types
- Typical use cases or applications
- Key parameters and their effects
-
Add Examples: Include minimal reproducible examples in documentation:
# Python API example result = wbe.gaussian_filter(input="image.tif", sigma=1.5, output="smooth.tif")
-
Cross-Reference: Link related tools:
- Edge detection family
- Smoothing family
- Classification family
-
Parameter Tables: Create detailed parameter reference for each tool showing:
- Parameter name, type, default, valid range, description
-
Visual Diagrams: Include processing pipeline diagrams for complex workflows:
- OBIA workflows
- Multi-step classification pipelines
- Radiometric correction chains
- Main Inventory: REMOTE_SENSING_IMAGE_TOOLS_METADATA.md
- This Summary: REMOTE_SENSING_TOOLS_INVENTORY_SUMMARY.md
- ✅ Extract radiometric_tools.rs metadata
- ✅ Extract obia_tools.rs metadata
- ✅ Extract specialized geospatial tools
- ⏳ Cross-validate tool IDs against parameter schemas in mod.rs
- ⏳ Create enhanced documentation with examples
- ⏳ Generate API reference tables
- ⏳ Build workflow examples document