Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
# Summary Pixel-wise classification and probability of recognized objects on a Sentinel-2 satellite image using pre-trained deep learning model. The model was trained from results and discoveries from CS-CANADA/MUSES01 experiments. The package was improved and extended to provide additional functionalities during OGC-TB16 developments. Version: `0.4.0` ## Links - OGC API - Processes endpoint: https://hirondelle.crim.ca/weaver/processes/ogc-tb16-land-cover-mapping ## References - [OGC Testbed-15: Machine Learning Engineering Report](https://docs.ogc.org/per/19-027r2.html) - [OGC Testbed-16 Initiative](https://www.ogc.org/initiatives/t-16/) - [OGC Testbed-16: Data Access and Processing Engineering Report](https://docs.ogc.org/per/20-016.html) - [OGC Earth Observation Applications Pilot: CRIM Engineering Report](https://docs.ogc.org/per/20-045.html#MLApps) ## Process Description ```json { "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.opengis.net/ogcapi/processes/part1/1.0/openapi/schemas/process.yaml", "id": "ogc-tb16-land-cover-mapping", "title": "OGC Testbed-16 Pixel-Wise Classifier for Land Cover Mapping", "version": "0.4.0", "mutable": true, "description": "Pixel-wise classification and probability of recognized objects on a Sentinel-2 satellite image using pre-trained deep learning model. The model was trained from results and discoveries from CS-CANADA/MUSES01 experiments. The package was improved and extended to provide additional functionalities during OGC-TB16 developments.", "keywords": [ "crim", "thelper", "inference", "ogc", "testbed-16", "cs-canada", "muses", "machine learning", "deep learning", "neural network", "object classification", "satellite imagery", "sentinel-2", "application" ], "metadata": [ { "title": "Provider Name", "lang": "en-CA", "value": "Computer Research Institute of Montreal (CRIM)", "role": "http://www.opengis.net/eoc/applicationContext/providerMetadata" }, { "title": "Nom du fournisseur", "lang": "fr-CA", "value": "Centre de Recherche Informatique de Montréal (CRIM)", "role": "http://www.opengis.net/eoc/applicationContext/providerMetadata" }, { "title": "Provider Site", "hreflang": "en-CA", "href": "https://www.crim.ca/en", "type": "text/html", "rel": "provider-site-en", "role": "http://www.opengis.net/eoc/applicationContext/providerMetadata" }, { "title": "Page du fournisseur", "hreflang": "fr-CA", "href": "https://www.crim.ca/fr", "type": "text/html", "rel": "provider-site-fr", "role": "http://www.opengis.net/eoc/applicationContext/providerMetadata" } ], "inputs": { "raster_file": { "title": "Raster file", "description": "Input raster onto which to run object classification. Either a Sentinel-2 SAFE ZIP or a RBG-NIR GeoTiff.", "minOccurs": 1, "maxOccurs": 1, "schema": { "oneOf": [ { "type": "string", "format": "binary", "contentMediaType": "application/zip", "contentEncoding": "base64" }, { "type": "string", "format": "binary", "contentMediaType": "application/geo+tiff", "contentEncoding": "base64" } ] }, "formats": [ { "default": true, "mediaType": "application/zip" }, { "default": false, "mediaType": "application/geo+tiff" } ] }, "raster_bands": { "minOccurs": 0, "maxOccurs": "unbounded", "schema": { "type": "array", "items": { "type": "integer" }, "minItems": 0 }, "literalDataDomains": [ { "default": true, "dataType": { "$id": "https://schemas.opengis.net/ogcapi/processes/part1/1.0/openapi/schemas/nameReferenceType.yaml", "name": "integer" }, "valueDefinition": { "anyValue": false } } ] }, "raster_mean": { "minOccurs": 0, "maxOccurs": "unbounded", "schema": { "type": "array", "items": { "type": "number", "format": "float" }, "minItems": 0 }, "literalDataDomains": [ { "default": true, "dataType": { "$id": "https://schemas.opengis.net/ogcapi/processes/part1/1.0/openapi/schemas/nameReferenceType.yaml", "name": "float" }, "valueDefinition": { "anyValue": false } } ] }, "raster_std": { "minOccurs": 0, "maxOccurs": "unbounded", "schema": { "type": "array", "items": { "type": "number", "format": "float" }, "minItems": 0 }, "literalDataDomains": [ { "default": true, "dataType": { "$id": "https://schemas.opengis.net/ogcapi/processes/part1/1.0/openapi/schemas/nameReferenceType.yaml", "name": "float" }, "valueDefinition": { "anyValue": false } } ] }, "patch_size": { "minOccurs": 0, "maxOccurs": 1, "schema": { "type": "array", "items": { "type": "integer" }, "minItems": 0, "maxItems": 1 }, "literalDataDomains": [ { "default": true, "dataType": { "$id": "https://schemas.opengis.net/ogcapi/processes/part1/1.0/openapi/schemas/nameReferenceType.yaml", "name": "integer" }, "valueDefinition": { "anyValue": false } } ] }, "batch_size": { "minOccurs": 0, "maxOccurs": 1, "schema": { "type": "array", "items": { "type": "integer" }, "minItems": 0, "maxItems": 1 }, "literalDataDomains": [ { "default": true, "dataType": { "$id": "https://schemas.opengis.net/ogcapi/processes/part1/1.0/openapi/schemas/nameReferenceType.yaml", "name": "integer" }, "valueDefinition": { "anyValue": false } } ] }, "device": { "minOccurs": 0, "maxOccurs": 1, "schema": { "type": "array", "items": { "type": "string", "enum": [ "cpu", "cuda" ], "default": "cpu" }, "minItems": 0, "maxItems": 1 }, "literalDataDomains": [ { "default": true, "defaultValue": "cpu", "dataType": { "$id": "https://schemas.opengis.net/ogcapi/processes/part1/1.0/openapi/schemas/nameReferenceType.yaml", "name": "string" }, "valueDefinition": [ "cpu", "cuda" ] } ] } }, "outputs": { "classification": { "title": "Inference classification results.", "description": "Pixel-wise classification results obtained from inference of the model. Each pixel value represents the classified class.", "schema": { "type": "string", "format": "binary", "contentMediaType": "application/geo+tiff", "contentEncoding": "base64" }, "formats": [ { "default": true, "mediaType": "application/geo+tiff" } ] }, "probabilities": { "title": "Inference classification probabilities", "description": "Pixel-wise probability estimation of the produced classification results, for each corresponding class. Each band index corresponds to the probabilities of the class indices.", "schema": { "type": "string", "format": "binary", "contentMediaType": "application/geo+tiff", "contentEncoding": "base64" }, "formats": [ { "default": true, "mediaType": "application/geo+tiff" } ] }, "labels": { "title": "Class label mapping.", "description": "Mapping of class names to indices matching the classification results and the probability estimation bands.", "schema": { "oneOf": [ { "type": "string", "contentMediaType": "application/json" }, { "type": "object", "additionalProperties": true } ] }, "formats": [ { "default": true, "mediaType": "application/json" } ] }, "config": { "title": "Inference configuration.", "description": "Extended configuration definition that got used to execute the inference operation.", "schema": { "oneOf": [ { "type": "string", "contentMediaType": "application/json" }, { "type": "object", "additionalProperties": true } ] }, "formats": [ { "default": true, "mediaType": "application/json" } ] } }, "visibility": "public", "jobControlOptions": [ "async-execute", "sync-execute" ], "outputTransmission": [ "reference", "value" ], "processDescriptionURL": "https://hirondelle.crim.ca/weaver/processes/ogc-tb16-land-cover-mapping", "processEndpointWPS1": "https://hirondelle.crim.ca/weaver/wps", "executeEndpoint": "https://hirondelle.crim.ca/weaver/processes/ogc-tb16-land-cover-mapping/jobs", "deploymentProfile": "http://www.opengis.net/profiles/eoc/dockerizedApplication", "links": [ { "title": "Current process description.", "hreflang": "en-CA", "href": "https://hirondelle.crim.ca/weaver/processes/ogc-tb16-land-cover-mapping", "type": "application/json", "rel": "self" }, { "title": "Process definition.", "hreflang": "en-CA", "href": "https://hirondelle.crim.ca/weaver/processes/ogc-tb16-land-cover-mapping", "type": "application/json", "rel": "process-meta" }, { "title": "Process execution endpoint for job submission.", "hreflang": "en-CA", "href": "https://hirondelle.crim.ca/weaver/processes/ogc-tb16-land-cover-mapping/execution", "type": "application/json", "rel": "http://www.opengis.net/def/rel/ogc/1.0/execute" }, { "title": "List of registered processes.", "hreflang": "en-CA", "href": "https://hirondelle.crim.ca/weaver/processes", "type": "application/json", "rel": "http://www.opengis.net/def/rel/ogc/1.0/processes" }, { "title": "List of job executions corresponding to this process.", "hreflang": "en-CA", "href": "https://hirondelle.crim.ca/weaver/processes/ogc-tb16-land-cover-mapping/jobs", "type": "application/json", "rel": "http://www.opengis.net/def/rel/ogc/1.0/job-list" }, { "title": "List of processes registered under the service.", "hreflang": "en-CA", "href": "https://hirondelle.crim.ca/weaver/processes", "type": "application/json", "rel": "up" } ] } ```
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.