DocumentCode :
2684030
Title :
A fusion method for mixed pixels based on prior type judgment
Author :
Jing, Linhai ; Cheng, Qiuming
Author_Institution :
York Univ., Toronto
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
5162
Lastpage :
5165
Abstract :
In reality, a low-spatial-resolution (LR) mixed pixel superimposes some high-spatial-resolution (HR) pixels, some of which are mixed and some of which are pure. In current fusion methods, mixed multispectral pixels are seldom discriminated from pure pixels and specifically processed. The resultant fused versions of the mixed pixels usually keep spectrally mixed and visually blurred. In this paper, for each spatially expanded mixed pixel, once the type of its corresponding HR pixel, soil or vegetation pixel, can be determined with reference to the relationship of panchromatic and multispectral images and with respect to the corresponding panchromatic pixel, its fused version may be spectrally un-mixed. In a test, the method proposed in this paper offered synthetic products with overall high spectral accuracy and had better sharpened visualization effects on some mixed boundary pixels than some current fusion methods.
Keywords :
geophysical signal processing; remote sensing; sensor fusion; soil; vegetation; fusion method; mixed boundary pixels; mixed multispectral pixels; multispectral images; panchromatic images; prior type judgment; sharpened visualization effects; soil pixel; vegetation pixel; Geology; Geoscience; Image fusion; Image resolution; Mineral resources; Multispectral imaging; Pixel; Soil; Spatial resolution; Vegetation mapping; image enhancement; image fusion; mixed pixel; spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4424024
Filename :
4424024
Link To Document :
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