Génération de descripteurs d’images satellitaires à THRS
An approach of self-adapting morphological segmentation using new type of images associated to segmentation enables the exploitation of the extracted data, in order to collect, to model and to homogenize them within descriptors. The use of this information available on the objects relies on spatial...
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| Main Authors: | , |
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| Format: | Article |
| Language: | German |
| Published: |
Unité Mixte de Recherche 8504 Géographie-cités
2007-07-01
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| Series: | Cybergeo |
| Subjects: | |
| Online Access: | https://journals.openedition.org/cybergeo/8212 |
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| _version_ | 1839656335909584896 |
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| author | Erick Lopez-Ornelas Florence Sèdes |
| author_facet | Erick Lopez-Ornelas Florence Sèdes |
| author_sort | Erick Lopez-Ornelas |
| collection | DOAJ |
| description | An approach of self-adapting morphological segmentation using new type of images associated to segmentation enables the exploitation of the extracted data, in order to collect, to model and to homogenize them within descriptors. The use of this information available on the objects relies on spatial relationships, among others, in order to describe the relations between the objects, and their characteristics. It is the modeling and the generation of descriptors which makes this approach original in the context of processing remote sensing images. |
| format | Article |
| id | doaj-art-96bbd15a00b64eb7a6c27859d78dfd13 |
| institution | Matheson Library |
| issn | 1278-3366 |
| language | deu |
| publishDate | 2007-07-01 |
| publisher | Unité Mixte de Recherche 8504 Géographie-cités |
| record_format | Article |
| series | Cybergeo |
| spelling | doaj-art-96bbd15a00b64eb7a6c27859d78dfd132025-06-24T14:59:45ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662007-07-0110.4000/cybergeo.8212Génération de descripteurs d’images satellitaires à THRSErick Lopez-OrnelasFlorence SèdesAn approach of self-adapting morphological segmentation using new type of images associated to segmentation enables the exploitation of the extracted data, in order to collect, to model and to homogenize them within descriptors. The use of this information available on the objects relies on spatial relationships, among others, in order to describe the relations between the objects, and their characteristics. It is the modeling and the generation of descriptors which makes this approach original in the context of processing remote sensing images.https://journals.openedition.org/cybergeo/8212remote sensingmorphological segmentationelicitingdescriptorsVHR images |
| spellingShingle | Erick Lopez-Ornelas Florence Sèdes Génération de descripteurs d’images satellitaires à THRS Cybergeo remote sensing morphological segmentation eliciting descriptors VHR images |
| title | Génération de descripteurs d’images satellitaires à THRS |
| title_full | Génération de descripteurs d’images satellitaires à THRS |
| title_fullStr | Génération de descripteurs d’images satellitaires à THRS |
| title_full_unstemmed | Génération de descripteurs d’images satellitaires à THRS |
| title_short | Génération de descripteurs d’images satellitaires à THRS |
| title_sort | generation de descripteurs d images satellitaires a thrs |
| topic | remote sensing morphological segmentation eliciting descriptors VHR images |
| url | https://journals.openedition.org/cybergeo/8212 |
| work_keys_str_mv | AT ericklopezornelas generationdedescripteursdimagessatellitairesathrs AT florencesedes generationdedescripteursdimagessatellitairesathrs |