{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["026:00"], "contactPoint": {"@type": "vcard:Contact", "fn": "George Komar", "hasEmail": "mailto:george.komar@nasa.gov"}, "description": "&lt;p&gt;\r\n\tImprove the use of land cover data by developing an advanced framework for robust classification using multi-source datasets:&lt;br /&gt;\r\n\tDevelop, validate and optimize a generalized multi-kernel, active learning (MKL-AL) pattern recognition framework for multi-source data fusion.&lt;br /&gt;\r\n\tDevelop both single- and ensemble-classifier versions (MKL-AL and Ensemble-MKL-AL) of the system.&lt;br /&gt;\r\n\tUtilize multi-source remotely sensed and in situ data to create land-cover classification and perform accuracy assessment with available labeled data; utilize first results to query new samples that, if inducted into the training of the system, will significantly improve classification performance and accuracy.&lt;br /&gt;\r\n\t&amp;nbsp;&lt;/p&gt;", "distribution": [{"@type": "dcat:Distribution", "downloadURL": "http://techport.nasa.gov/xml-api/11845", "format": "XML", "mediaType": "application/xml"}], "identifier": "TECHPORT_11845", "issued": "2012-08-01", "keyword": ["active", "nasa-headquarters", "project"], "landingPage": "http://techport.nasa.gov/view/11845", "modified": "2025-03-31", "programCode": ["026:005"], "publisher": {"@type": "org:Organization", "name": "Science Mission Directorate"}, "references": ["http://techport.nasa.gov/home", "http://techport.nasa.gov/doc/home/TechPort_Advanced_Search.pdf", "http://techport.nasa.gov/fetchFile?objectId=6561", "http://techport.nasa.gov/fetchFile?objectId=3456", "http://techport.nasa.gov/fetchFile?objectId=3447", "http://techport.nasa.gov/fetchFile?objectId=6584", "http://techport.nasa.gov/fetchFile?objectId=6560", "http://techport.nasa.gov/fetchFile?objectId=3448"], "temporal": "2012-08-01T00:00:00Z/2015-07-01T00:00:00Z", "theme": ["Earth Science"], "title": "An Advanced Learning Framework for High Dimensional Multi-Sensor Remote Sensing Data Project"}