A wavelet integrated image fusion approach for target detection in very high resolution satellite imagery

被引：0

作者：

Zhang, Y ^{[1
]}

Hong, G ^{[1
]}

机构：

[1] Univ New Brunswick, Dept Geodesy & Geomat Engn, 15 Dineen Dr, Fredericton, NB E3B 5A3, Canada

来源：

SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XIV | 2005年 / 5809卷

关键词：

wavelet; image fusion; target detection; very high resolution; sub meter; multispectral;

D O I：

10.1117/12.606410

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Commercially available very high resolution satellite imagery has reached a sub-meter ground resolution for panchromatic imagery and a few meters of resolution for multispectral imagery (e.g., QuickBird panchromatic 0.6m and multispectral 2.4m). Ground targets such as vehicles can be clearly recognized in the panchromatic imagery, but difficult in the multispectral imagery. For automatic target detection, however, it is desired to have sub-meter multispectral imagery. This paper introduces a new wavelet integrated image fusion approach to produce a sub-meter multispectral image by combining a sub-meter panchromatic image with a several-meter multispectral image. The characteristics of the wavelet transform for spatial detail extraction and advantages of the IHS (Intensity Hue Saturation) fusion techniques are integrated. QuickBird panchromatic and multispectral images are fused. The results are compared with those of other existing image fusion techniques. Visual analyses demonstrate that the new wavelet integrated approach achieves better results for target detection.

引用

页码：330 / +

页数：3

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