Title
Extraction of linear surface features from remote sensing image to construction crop acreage survey sampling frame
Abstract
Acreage of crops is an important agricultural economic information. In this paper, Using a detailed land use data, constructed sample frame. Ditch planted crops into account the direction,. In support of GIS spatial technology, the survey cost and distribution of natural land, set a reasonable standard of land area. Then under the irregular block size, spatial distribution, the relationship between adjacent blocks are combined into large blocks, large blocks were split into standard land area , so the blocks area are all similar. Using mathematical morphology characteristics of land surface features extracted linear, then establishment of relatively uniform size of the irregular sampling frame. Using random sampling method for study sample experiment.
Year
DOI
Venue
2011
10.1109/IGARSS.2011.6049833
IGARSS
Keywords
Field
DocType
terrain mapping,ditch planted crops,natural land distribution,spatial distribution,random sampling method,mathematical morphology characteristics,area sampling frame,random processes,geographic information systems,remote sensing image,land surface feature extraction,agricultural economic information,irregular sampling frame,crops,standard land area,feature extraction,geophysical image processing,morphology,linear surface features,linear surface feature extraction,crop acreage survey sampling frame,gis spatial technology,crop acreage,sampling methods,random sampling,land use,shape,remote sensing,survey sampling,mathematical morphology,agricultural economics,agriculture
Block size,Geographic information system,Sampling frame,Computer science,Mathematical morphology,Survey sampling,Remote sensing,Feature extraction,Sampling (statistics),Land use
Conference
Volume
Issue
ISSN
null
null
2153-6996
ISBN
Citations 
PageRank 
978-1-4577-1003-2
0
0.34
References 
Authors
1
6
Name
Order
Citations
PageRank
Hui Deng121.41
Di Wang21337143.48
Jia Liu3123.72
Limin Wang400.34
Zhongxin Chen56718.05
Qingbo Zhou65214.55