Titre :	Recognition map analysis and crop acreage estimation
Type de document :	texte imprimé
Auteurs :	Erikson, D.J. ; Nalepka, F.R. ; Morgenstern, J.
Mention d'édition :	Environmental Research Institute
Editeur :	Environmental Research Institute
Année de publication :	1975
ISBN/ISSN/EAN :	CI-11919
Note générale :	The objective of this subcontract is to support the skylab EREP effort of Michigan State University by:1) performing standard recognition processing and producing recognition maps and counts, 2) assisting in the analysis and interpretation of the recognition maps and other extracted information/ 3) further developing and adapting, for use on Skylab EREP data methods for estimating proportions of unresolved objects, and 4) applying proportion estimation techniques to one frame of EREP data determine to what extent the accuracy of crop acreage estimates in improved
Langues :	Anglais (eng)
Mots-clés :	Cartographie  Méthodologie  Analyse de données  Données numérisées
Index. décimale :	526.8 Cartographie et projections cartographiques
Résumé :	The objective of this subcontract is to support the skylab EREP effort of Michigan State University by:1) performing standard recognition processing and producing recognition maps and counts, 2) assisting in the analysis and interpretation of the recognition maps and other extracted information/ 3) further developing and adapting, for use on Skylab EREP data methods for estimating proportions of unresolved objects, and 4) applying proportion estimation techniques to one frame of EREP data determine to what extent the accuracy of crop acreage estimates in improved
Note de contenu :	The objective of this subcontract is to support the skylab EREP effort of Michigan State University by:1) performing standard recognition processing and producing recognition maps and counts, 2) assisting in the analysis and interpretation of the recognition maps and other extracted information/ 3) further developing and adapting, for use on Skylab EREP data methods for estimating proportions of unresolved objects, and 4) applying proportion estimation techniques to one frame of EREP data determine to what extent the accuracy of crop acreage estimates in improved

Recognition map analysis and crop acreage estimation [texte imprimé] / Erikson, D.J. ; Nalepka, F.R. ; Morgenstern, J.  . -  Environmental Research Institute . - Environmental Research Institute, 1975.
ISSN : CI-11919
The objective of this subcontract is to support the skylab EREP effort of Michigan State University by:1) performing standard recognition processing and producing recognition maps and counts, 2) assisting in the analysis and interpretation of the recognition maps and other extracted information/ 3) further developing and adapting, for use on Skylab EREP data methods for estimating proportions of unresolved objects, and 4) applying proportion estimation techniques to one frame of EREP data determine to what extent the accuracy of crop acreage estimates in improved
Langues : Anglais (eng)

Mots-clés :	Cartographie  Méthodologie  Analyse de données  Données numérisées
Index. décimale :	526.8 Cartographie et projections cartographiques
Résumé :	The objective of this subcontract is to support the skylab EREP effort of Michigan State University by:1) performing standard recognition processing and producing recognition maps and counts, 2) assisting in the analysis and interpretation of the recognition maps and other extracted information/ 3) further developing and adapting, for use on Skylab EREP data methods for estimating proportions of unresolved objects, and 4) applying proportion estimation techniques to one frame of EREP data determine to what extent the accuracy of crop acreage estimates in improved
Note de contenu :	The objective of this subcontract is to support the skylab EREP effort of Michigan State University by:1) performing standard recognition processing and producing recognition maps and counts, 2) assisting in the analysis and interpretation of the recognition maps and other extracted information/ 3) further developing and adapting, for use on Skylab EREP data methods for estimating proportions of unresolved objects, and 4) applying proportion estimation techniques to one frame of EREP data determine to what extent the accuracy of crop acreage estimates in improved