SAGA.imagery_opencv.6: K-Nearest Neighbours Classification (OpenCV)

Integration of the OpenCV Machine Learning library for K-Nearest Neighbours classification of gridded features.

Inputs

Features

format
href
Please set a value for FEATURES.

Normalize

boolean

Use the first three features in list to obtain blue, green, red components for class colour in look-up table.

boolean

Use a model previously stored to file.

format
href
Please set a value for MODEL_LOAD.

Training Areas

format
href
Please set a value for TRAIN_AREAS.

Class Identifier

format
href
Please set a value for TRAIN_CLASS.

For non-polygon type training areas, creates a buffer with a diameter of specified size.

number

Stores model to file to be used for subsequent classifications instead of training areas.

format
href
Please set a value for MODEL_SAVE.

Default Number of Neighbours

integer

Training Method

string

Algorithm Type

string

Parameter for KD Tree implementation

integer

Outputs

Classification

format
transmission

Execution options

successUri
inProgressUri
failedUri

format

mode

Execute End Point

View the execution endpoint of a process.

View the alternative version in HTML.

{"id": "SAGA.imagery_opencv.6", "title": "K-Nearest Neighbours Classification (OpenCV)", "description": "Integration of the OpenCV Machine Learning library for K-Nearest Neighbours classification of gridded features.", "version": "1.0.0", "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], "outputTransmission": ["value", "reference"], "links": [{"rel": "http://www.opengis.net/def/rel/ogc/1.0/execute", "type": "application/json", "title": "Execute End Point", "href": "http://demo.mapmint.com/ogc-api/processes/SAGA.imagery_opencv.6/execution"}, {"rel": "alternate", "type": "text/html", "title": "Execute End Point", "href": "http://demo.mapmint.com/ogc-api/processes/SAGA.imagery_opencv.6/execution.html"}], "inputs": {"FEATURES": {"title": "Features", "description": "Features", "maxOccurs": 1024, "extended-schema": {"type": "array", "minItems": 1, "maxItems": 1024, "items": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["image/tiff", "application/x-ogc-envi", "application/x-ogc-aaigrid", "image/png"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-envi"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-aaigrid"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}}}]}}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-envi"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-aaigrid"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}, "id": "FEATURES"}, "NORMALIZE": {"title": "Normalize", "description": "Normalize", "schema": {"type": "boolean", "default": false, "enum": ["true", "false"], "nullable": true}, "id": "NORMALIZE"}, "RGB_COLORS": {"title": "Update Colors from Features", "description": "Use the first three features in list to obtain blue, green, red components for class colour in look-up table.", "schema": {"type": "boolean", "default": false, "enum": ["true", "false"], "nullable": true}, "id": "RGB_COLORS"}, "MODEL_LOAD": {"title": "Load Model", "description": "Use a model previously stored to file.", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/plain"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}, "id": "MODEL_LOAD"}, "TRAIN_AREAS": {"title": "Training Areas", "description": "Training Areas", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/xml", "application/vnd.google-earth.kml+xml", "application/json"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}]}, "id": "TRAIN_AREAS"}, "TRAIN_CLASS": {"title": "Class Identifier", "description": "Class Identifier", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/csv", "text/csv"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}, "id": "TRAIN_CLASS"}, "TRAIN_BUFFER": {"title": "Buffer Size", "description": "For non-polygon type training areas, creates a buffer with a diameter of specified size.", "schema": {"type": "number", "default": 1, "format": "double", "nullable": true}, "id": "TRAIN_BUFFER"}, "MODEL_SAVE": {"title": "Save Model", "description": "Stores model to file to be used for subsequent classifications instead of training areas.", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/plain"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}, "id": "MODEL_SAVE"}, "NEIGHBOURS": {"title": "Default Number of Neighbours", "description": "Default Number of Neighbours", "schema": {"type": "integer", "default": 3, "nullable": true}, "id": "NEIGHBOURS"}, "TRAINING": {"title": "Training Method", "description": "Training Method", "schema": {"type": "string", "default": "classification", "enum": ["classification", "regression model"], "nullable": true}, "id": "TRAINING"}, "ALGORITHM": {"title": "Algorithm Type", "description": "Algorithm Type", "schema": {"type": "string", "default": "brute force", "enum": ["brute force", "KD Tree"], "nullable": true}, "id": "ALGORITHM"}, "EMAX": {"title": "Parameter for KD Tree implementation", "description": "Parameter for KD Tree implementation", "schema": {"type": "integer", "default": 1000, "nullable": true}, "id": "EMAX"}}, "outputs": {"CLASSES": {"title": "Classification", "description": "Classification", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["image/tiff", "application/x-ogc-envi", "application/x-ogc-aaigrid", "image/png"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-envi"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-aaigrid"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-envi"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-aaigrid"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}, "id": "CLASSES"}}}

http://demo.mapmint.com/ogc-apihttp://localhost/ogc-api/localhost/ogc-api/processes/SAGA.imagery_opencv.6.html
Last modified: Sat Feb 19 15:43:34 CET 2022