DocumentCode :
2125057
Title :
Local statistic-based fusion of MIVIS VNIR and simulated TIR images
Author :
Ziti Rao ; Li, Xiaowen ; Gu, Xingfa ; Wang, Jindi ; Ding, Xin ; Jiang, Lingmei
Author_Institution :
Res. Center for Remote Sensing, Beijing Normal Univ., China
Volume :
4
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
2417
Abstract :
Local statistic-based fusion algorithms are discussed, which can be applied to fuse high-resolution VNIR images and a single low-resolution TIR image. These algorithms are based the experiments that structural information of observed objects In visible and near-infared spectral range (VNIR) is essentially correlated with the environmental information (especially moisture information) in thermal infrared spectral range (TIR). The local is performed at three scales. This algorithm can be useful method to merge the TM image and VNIR images.
Keywords :
geophysical signal processing; geophysical techniques; multidimensional signal processing; sensor fusion; terrain mapping; IR imaging; MIVIS; TIR; VNIR; algorithm; geophysical measurement technique; hyperspectral remote sensing; image fusion; infrared radiometry; land surface; local statistic based; local statistics; multispectral remote sensing; terrain mapping; thermal infrared; visible and near-infared; Fuses; Geography; Image fusion; Infrared spectra; Moisture; Multispectral imaging; Pixel; Remote sensing; Spectroscopy; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026562
Filename :
1026562
Link To Document :
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