Examination Method and Implementation for Field Survey Data of Crop Types Based on Multi-resolution Satellite Images

Abstract : In order to examine the accuracy of large amount of the field survey data with less accurate, an examination method based on multi-resolution satellite images was proposed in this paper. As there were so large amount of data, stratified random sampling was used to obtain effective samples. Firstly, vegetation index derived from low-resolution satellite images at different times has been adopted as analysis factor. And wave curve charts were drawn with the vegetation index. From those charts, the statistics law of wave curves for different crop types was recognized using for crop types’ classification. Secondly, high-resolution satellite images were used to correct the area of crop types to get the final classification results. Finally, the accuracy of the field survey data can be calculated by comparing the original survey data with the final classification results. Moreover, for convenience using, a software has been developed according to the above examination method.
Type de document :
Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-344 (Part I), pp.681-690, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18333-1_82〉
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01559590
Contributeur : Hal Ifip <>
Soumis le : lundi 10 juillet 2017 - 17:28:17
Dernière modification le : mardi 18 juillet 2017 - 15:29:52
Document(s) archivé(s) le : mercredi 24 janvier 2018 - 18:29:13

Fichier

978-3-642-18333-1_82_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Yang Liu, Mingyi Du, Wenquan Zhu. Examination Method and Implementation for Field Survey Data of Crop Types Based on Multi-resolution Satellite Images. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-344 (Part I), pp.681-690, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18333-1_82〉. 〈hal-01559590〉

Partager

Métriques

Consultations de la notice

62

Téléchargements de fichiers

23