Title :
A RS/GIS-Based Systen for Weed Disasters
Author :
Sun, Ling ; Zhu, Zesheng
Author_Institution :
Resource Environ. Inst., JiangSu Acad. of Agric. Sci., Nanjing, China
Abstract :
This system essentially implements the information from RS and GIS associated with weed disaster modeling, and increases precision of weed disaster modeling by the information representing physical and logical fusion objects subject to weed disaster monitoring. This work focuses on the system architecture model and related design issues, including area and type estimation of weed disaster, whereas we use the model as a tool of data fusion to avoid the parameter estimation problems in complex environments.
Keywords :
crops; geographic information systems; sensor fusion; RS/GIS-based system; complex environments; data fusion; logical fusion objects; parameter estimation problem; physical fusion objects; system architecture model; type estimation; weed disaster modeling; weed disaster monitoring; Analytical models; Data models; Monitoring; Sensor fusion; Sensor phenomena and characterization; data fusion; monitoring; remote sensing; weed disaster;
Conference_Titel :
Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
Conference_Location :
Macau, Macao
Print_ISBN :
978-1-4577-1987-5
DOI :
10.1109/iCBEB.2012.38
