Title :
Spatial and Temporal Fusion of Remote Sensing Data using wavelet transform
Author :
Wu, Mingquan ; Wang, Changyao
Author_Institution :
LARSIS, IRSA, Beijing, China
Abstract :
Spatial and Temporal Fusion of Remote Sensing Data is a technology that can generate dense time series high spatial data whose spatial resolution is similar with high spatial resolution date, and temporal resolution is same with high temporal resolution data. Using Hai´an County of Jiangsu Province as the experimental area, we tested the ability of different wavelet functions and fusion methods in Spatial and Temporal Fusion. Through classification of fusion images and classification precision evaluation, the Spatial and Temporal Fusion Data which generated by appropriate wavelet functions and fusion methods can be used as current high spatial resolution image when it is missed.
Keywords :
geophysical image processing; image fusion; remote sensing; wavelet transforms; China; Hai´an county; Jiangsu province; classification precision evaluation; dense time series high spatial data; fusion image classification; fusion methods; remote sensing data spatial fusion; remote sensing data temporal fusion; spatial resolution; wavelet functions; wavelet transform; Earth; Image fusion; MODIS; Remote sensing; Satellites; Spatial resolution; Transforms; Landsat TM; MODIS; spatial and temporal fusion; wavelet transform;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5964589
