Abstract : The study of rice identification during early season aims to maintain
cultivated area and distribution status of rice during its early season
so as to provide decision support for agricultural management sectors to
develop policies and measures, as well as important information for
agricultural insurance sectors and agricultural products market.
Multi-polarization TerraSAR-X data of Xuwen study site locating in
Southern China were programmed during early season of early rice in the
year of 2009. By means of comparing analysis, it is discovered that rice
has more obvious identification features in jointing period and
flowering period. Rice identification experiments are carried out using
decision tree and object-oriented classification method. The results
show that imagery acquired at the jointing period is more suitable for
rice identification during the early season for a nationwide operational
rice monitoring system.
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.337-347, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_40〉
https://hal.inria.fr/hal-01220936
Contributeur : Hal Ifip
<>
Soumis le : mardi 27 octobre 2015 - 10:14:23
Dernière modification le : mercredi 17 janvier 2018 - 10:44:15
Document(s) archivé(s) le : jeudi 28 janvier 2016 - 10:36:50
Lin Guo, Zhiyuan Pei, Shangjie Ma, Juanying Sun, Jiali Shang. Study of Rice Identification during Early Season Using Multi-polarization TerraSAR-X Data. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.337-347, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_40〉. 〈hal-01220936〉
