OTB.EndmemberNumberEstimation: Estimate the number of endmembers in a hyperspectral image

{"id": "OTB.EndmemberNumberEstimation", "title": "Estimate the number of endmembers in a hyperspectral image", "description": "Estimate the number of endmembers in a hyperspectral image. First, compute statistics on the image and then apply an endmember number estimation algorithm using these statistics. Two algorithms are available:1. Virtual Dimensionality (HFC-VD) [1][2]2. Eigenvalue Likelihood Maximization (ELM) [3][4]The application then returns the estimated number of endmembers.[1] C.-I. Chang and Q. Du, Estimation of number of spectrally distinct signal sources in hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3, mar 2004.[2] J. Wang and C.-I. Chang, Applications of independent component analysis in endmember extraction and abundance quantification for hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 9, pp. 2601-1616, sep 2006.[3] Unsupervised Endmember Extraction of Martian Hyperspectral Images, B.Luo, J. Chanussot, S. Dout'e and X. Ceamanos, IEEE Whispers 2009, Grenoble France, 2009[4] Unsupervised classification of hyperspectral images by using linear unmixing algorithm Luo, B. and Chanussot, J., IEEE Int. Conf. On ImageProcessing(ICIP) 2009, Cairo, Egypte, 2009", "version": "1.0.0", "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], "outputTransmission": ["value", "reference"], "links": [{"rel": "execute", "type": "application/json", "title": "Execute End Point", "href": "http://tb17.geolabs.fr:8090/ogc-api/processes/OTB.EndmemberNumberEstimation/execution"}, {"rel": "alternate", "type": "text/html", "title": "Execute End Point", "href": "http://tb17.geolabs.fr:8090/ogc-api/processes/OTB.EndmemberNumberEstimation/execution.html"}], "inputs": {"in": {"title": "The hyperspectral data cube input", "description": "The hyperspectral data cube input", "maxOccurs": 1, "extentded-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["image/tiff", "image/jpeg", "image/png"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/jpeg"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/jpeg"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}, "id": "in"}, "algo": {"title": "The algorithm to use for the estimation", "description": "The algorithm to use for the estimation", "maxOccurs": 1, "schema": {"type": "string", "default": "elm", "enum": ["elm", "vd"]}, "id": "algo"}, "algo.vd.far": {"title": "False alarm rate for the virtual dimensionality algorithm", "description": "False alarm rate for the virtual dimensionality algorithm", "maxOccurs": 1, "schema": {"type": "number", "default": 0.001}, "id": "algo.vd.far"}, "ram": {"title": "Available memory for processing (in MB).", "description": "Available memory for processing (in MB).", "maxOccurs": 1, "schema": {"type": "integer", "default": 256, "nullable": true}, "id": "ram"}}, "outputs": {"number": {"title": "The output estimated number of endmembers", "description": "The output estimated number of endmembers", "schema": {"type": "integer"}, "id": "number"}}}