Abstract | ||
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Many image fusion techniques have been proposed so as to achieve optimal resolution in the spatial and spectral domains. The Beijing-1 Micro-Satellite images have their own unique characteristics. The resolution ratio of its multi-spectral image to panchromatic image exceeds 4:1. It is often a challenge to pan-sharpen images with such a large spatial resolution ratio. In this paper, we develop an improved fusion method based on IHS, wavelet transform and regional features to merge the panchromatic and multi-spectral images of Beijing-1 Micro-Satellite. In addition, a comparative analysis from both visual effect and quantization parameters is carried out against other existing strategies. The results show that our proposed method can achieve better performance in combining and preserving spectral-spatial information for the Beijing-1 Micro-Satellite test images. |
Year | DOI | Venue |
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2009 | 10.1109/IGARSS.2009.5417410 | IGARSS |
Keywords | Field | DocType |
fusion,geophysical techniques,remote sensing,beijing-1 micro-satellite imagery,regional features,image fusion,visual effect,wavelet transforms,image resolution,ihs-wavelet,beijing-1 micro-satellite,spectral-spatial information preservation,panchromatic image,multispectral image,geophysical image processing,weighted regional features,wavelet transform,pan-sharpen images,histograms,spatial resolution,geoscience,multispectral imaging,multiresolution analysis,spatial information,comparative analysis | Sharpening,Histogram,Computer vision,Image fusion,Panchromatic film,Computer science,Remote sensing,Multispectral image,Multiresolution analysis,Artificial intelligence,Image resolution,Wavelet transform | Conference |
Volume | ISSN | ISBN |
4 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Haixia Liu | 1 | 0 | 0.34 |
Bing Zhang | 2 | 422 | 74.10 |
Xia Zhang | 3 | 39 | 6.35 |
Junsheng Li | 4 | 0 | 0.34 |
Zhengchao Chen | 5 | 22 | 10.85 |
Xiaoxue Zhou | 6 | 1 | 1.30 |