Paper Info
Title
A Fusion Method for Mixed Pixels based on Classification of Panchromatic Image
Abstract
A low-spatial-resolution multispectral (MS) mixed pixel superimposes multiple high-spatial-resolution pixels, some of which are mixed and others are pure. The fused versions of MS mixed sub-pixels normally remain spectrally mixed and visually blurred. A high-resolution classification map is a requisite to the proper fusion of MS mixed sub-pixels. In this article, soil sub-pixels and mixed sub-pixels within a MS image are initially separated to delineate coarse boundaries between vegetation and non-vegetation. Then, the high-spatial-resolution panchromatic (PAN) pixels near such boundaries will be classified into vegetation and non-vegetation, regarding to the spatial relationships among objects and related shadows. Finally, each MS mixed sub-pixel with a known class will be set to be a pure pixel in a fusion process, and others will be fused as pure sub-pixels. The fusion method proposed in this paper offers synthetic products with high spectral accuracy and clear soil-vegetation boundaries in a trial upon IKONOS MS and PAN images.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4779378
IGARSS
Keywords
Field
DocType
remote sensing,image enhancement,image fusion,image fusion method,mixed pixel,shadows,panchromatic image classification,multispectral image,spectral accuracy,coarse boundary delineation,image classification,panchromatic pixels,classification,high-resolution classification map,soil-vegetation boundaries,mineral resources,image resolution,geology,high resolution,spatial resolution,spatial relationships,geoscience,pixel
Computer vision,Image fusion,Computer science,Panchromatic film,Remote sensing,Multispectral image,Fusion,Pixel,Artificial intelligence,Contextual image classification,Image resolution,Spectral accuracy
Conference
Volume
ISBN
Citations 
3
978-1-4244-2808-3
0
PageRank 
References 
Authors
0.34
11
3
Name
Order
Citations
PageRank
Linhai Jing13610.99
Qiuming Cheng25618.03
Wenlei Wang362.02