{"copyright":{"thirdPartyPermissionsProduced":false,"disclosedToPublic":false,"containsIndication":false,"publisherPermissionOrRightsToDistribute":false,"belongsToUsGov":false,"determinationType":"GOV_PUBLIC_USE_PERMITTED","thirdPartyContentCondition":"NOT_SET","belongsToContractor":false,"disclosedInvention":false,"submissionId":19790017278,"containsThirdPartyMaterial":false,"belongsToPublisher":false,"id":"1555bbca32c44e228c2024adb625890f","belongsToAuthors":false},"subjectCategories":["Earth Resources And Remote Sensing"],"exportControl":{"isExportControl":"NO","submissionId":19790017278,"ear":"NO","id":"948d88ff8b8b475ba0a567bef1fcac36","itar":"NO"},"distributionDate":"2019-06-21T00:00:00.0000000+00:00","otherReportNumbers":["LARS-TR-122678","NASA-CR-160170","TR-EE-79-13","E79-10200","Report Number: LARS-TR-122678","Report Number: NASA-CR-160170","Report Number: TR-EE-79-13","Report Number: E79-10200"],"fundingNumbers":[{"number":"NAS9-15466","submissionId":19790017278,"id":"6ef310e2e54842d2968fc0daf8e2ac44","type":"CONTRACT_GRANT"}],"title":"The analytical design of spectral measurements for multispectral remote sensor systems","stiType":"CONTRACTOR_REPORT","distribution":"PUBLIC","submittedDate":"2013-09-04T12:44:00.0000000+00:00","authorAffiliations":[{"sequence":0,"submissionId":19790017278,"meta":{"author":{"name":"Wiersma, D. J."},"organization":{"name":"Purdue Univ.","location":"West Lafayette, IN, United States"}},"id":"95fb324fb50a42a793b7c182ec3c2475"},{"sequence":1,"submissionId":19790017278,"meta":{"author":{"name":"Landgrebe, D. A."},"organization":{"name":"Purdue Univ.","location":"West Lafayette, IN, United States"}},"id":"f1472cfa049247d78ed8d0d68c431a26"}],"stiTypeDetails":"Contractor Report (CR)","technicalReviewType":"TECHNICAL_REVIEW_TYPE_NONE","modified":"2025-08-31T18:39:21.7150190+00:00","id":19790017278,"legacyMeta":{"__type":"LegacyMetaIndex, StrivesApi.ServiceModel","accessionNumber":"79N25449"},"created":"2013-09-04T12:44:00.0000000+00:00","center":{"code":"CDMS","name":"Legacy CDMS","id":"092d6e0881874968859b972d39a888dc"},"onlyAbstract":false,"sensitiveInformation":2,"abstract":"The author has identified the following significant results. In order to choose a design which will be optimal for the largest class of remote sensing problems, a method was developed which attempted to represent the spectral response function from a scene as accurately as possible. The performance of the overall recognition system was studied relative to the accuracy of the spectral representation. The spectral representation was only one of a set of five interrelated parameter categories which also included the spatial representation parameter, the signal to noise ratio, ancillary data, and information classes. The spectral response functions observed from a stratum were modeled as a stochastic process with a Gaussian probability measure. The criterion for spectral representation was defined by the minimum expected mean-square error.","isLessonsLearned":false,"disseminated":"DOCUMENT_AND_METADATA","publications":[{"submissionId":19790017278,"id":"d771d18f5fe547e0bd45ef7f34c8f6b3","publicationDate":"1979-01-01T00:00:00.0000000+00:00"}],"status":"CURATED","related":[],"downloads":[{"draft":false,"mimetype":"application/pdf","name":"19790017278.pdf","type":"STI","links":{"original":"/api/citations/19790017278/downloads/19790017278.pdf","pdf":"/api/citations/19790017278/downloads/19790017278.pdf","fulltext":"/api/citations/19790017278/downloads/19790017278.txt"}}],"downloadsAvailable":true,"index":"submissions-2026-06-11-04-51"}