Title
Correlation Analysis Between Hyperspectral Feature And Foliage Water Content In The Growth Period Of Winter Wheat
Abstract
At XiaoTangShan Precision Agriculture Experiment Base, suburban of Beijing city, we obtained the hyperspectral data of wheat canopy by field measurement and synchronal relative foliage water content (RFWC) at lab, according to the different growth stage of wheat, in the spring of 2002. In this paper, we extracted spectral feature parameters firstly. Then, the correlation analysis between the spectral features parameters and RFWC was made. two spectral feature parameters, which have good relativity to foliage water content, to make linear regression models between RFWC and spectral feature parameter according to the growth stages of wheat.
Year
DOI
Venue
2003
10.1109/IGARSS.2003.1295267
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES
Keywords
DocType
Volume
feature extraction,linear regression model,hyperspectral imaging,precision agriculture,data mining,agriculture,water content,earth,reflectivity,remote sensing,water,hyperspectral sensors
Conference
6
Issue
ISSN
Citations 
null
null
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Changzuo Wang131.91
J.-C. Zhao213552.42
Jindi Wang317353.39
Jihua Wang419153.78
Liangyun Liu510445.70
Pengxin Wang642.67
Juanjuan Juan Jing701.01
Zhijie Wang811.83