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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Linhai Jing Qiuming Cheng |
| Copyright Year | 2007 |
| Description | Author affiliation: York Univ., Toronto (Linhai Jing; Qiuming Cheng) |
| 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. |
| Starting Page | 5162 |
| Ending Page | 5165 |
| File Size | 486211 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424412112 |
| DOI | 10.1109/IGARSS.2007.4424024 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-07-23 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pixel Soil Vegetation mapping Image fusion Spatial resolution Geology Image resolution Geoscience Mineral resources Multispectral imaging mixed pixel image enhancement image fusion spatial resolution |
| Content Type | Text |
| Resource Type | Article |
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