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

Yun Zhang; Gang Hong

doi:10.1117/12.606410

25 May 2005 A wavelet integrated image fusion approach for target detection in very high resolution satellite imagery

Yun Zhang, Gang Hong

Proceedings Volume 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV; (2005) https://doi.org/10.1117/12.606410
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

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.

Citation Download Citation

Yun Zhang and Gang Hong "A wavelet integrated image fusion approach for target detection in very high resolution satellite imagery", Proc. SPIE 5809, Signal Processing, Sensor Fusion, and Target Recognition XIV, (25 May 2005); https://doi.org/10.1117/12.606410

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