| Titre : |
Recognition map analysis and crop acrease estimation: progress report |
| Type de document : |
texte imprimé |
| Auteurs : |
Erickson, J. D. ; Nalepka, R. F. ; Morgenstern, J. P. |
| Mention d'édition : |
ERIM |
| Editeur : |
ERIM |
| Année de publication : |
1975 |
| ISBN/ISSN/EAN : |
CI-10558 |
| Note générale : |
The objective of this subcontrat is to support the skulab EREP effort for Michigan state University. During this reporting period, classification processing of the S192 have been done. Jobs performed during the month included identifying field center pixels, extractiing spectral signatures for the field center pixels of fields from the 40 sections of the North half of the test site, performing supervised clustering over field center pixels to obtain a set od spectral signatures, calculating the optimum bands all 40 sections are used for training set of the cluster spectral signatures. |
| Langues : |
Anglais (eng) |
| Mots-clés : |
cartographie Récolte Agriculture Environnement Calcul Informatique Recherche agronomique |
| Index. décimale : |
630 Agriculture et techniques connexes |
| Résumé : |
The objective of this subcontrat is to support the skulab EREP effort for Michigan state University. During this reporting period, classification processing of the S192 have been done. Jobs performed during the month included identifying field center pixels, extractiing spectral signatures for the field center pixels of fields from the 40 sections of the North half of the test site, performing supervised clustering over field center pixels to obtain a set od spectral signatures, calculating the optimum bands all 40 sections are used for training set of the cluster spectral signatures. |
| Note de contenu : |
The objective of this subcontrat is to support the skulab EREP effort for Michigan state University. During this reporting period, classification processing of the S192 have been done. Jobs performed during the month included identifying field center pixels, extractiing spectral signatures for the field center pixels of fields from the 40 sections of the North half of the test site, performing supervised clustering over field center pixels to obtain a set od spectral signatures, calculating the optimum bands all 40 sections are used for training set of the cluster spectral signatures. |
Recognition map analysis and crop acrease estimation: progress report [texte imprimé] / Erickson, J. D. ; Nalepka, R. F. ; Morgenstern, J. P. . - ERIM . - ERIM, 1975. ISSN : CI-10558 The objective of this subcontrat is to support the skulab EREP effort for Michigan state University. During this reporting period, classification processing of the S192 have been done. Jobs performed during the month included identifying field center pixels, extractiing spectral signatures for the field center pixels of fields from the 40 sections of the North half of the test site, performing supervised clustering over field center pixels to obtain a set od spectral signatures, calculating the optimum bands all 40 sections are used for training set of the cluster spectral signatures. Langues : Anglais ( eng)
| Mots-clés : |
cartographie Récolte Agriculture Environnement Calcul Informatique Recherche agronomique |
| Index. décimale : |
630 Agriculture et techniques connexes |
| Résumé : |
The objective of this subcontrat is to support the skulab EREP effort for Michigan state University. During this reporting period, classification processing of the S192 have been done. Jobs performed during the month included identifying field center pixels, extractiing spectral signatures for the field center pixels of fields from the 40 sections of the North half of the test site, performing supervised clustering over field center pixels to obtain a set od spectral signatures, calculating the optimum bands all 40 sections are used for training set of the cluster spectral signatures. |
| Note de contenu : |
The objective of this subcontrat is to support the skulab EREP effort for Michigan state University. During this reporting period, classification processing of the S192 have been done. Jobs performed during the month included identifying field center pixels, extractiing spectral signatures for the field center pixels of fields from the 40 sections of the North half of the test site, performing supervised clustering over field center pixels to obtain a set od spectral signatures, calculating the optimum bands all 40 sections are used for training set of the cluster spectral signatures. |
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