Remote sensing image fusion based on frequency domain segmenting

Deren Li; Linyi Li; Xin Yu

doi:10.1117/12.713396

28 October 2006 Remote sensing image fusion based on frequency domain segmenting

Deren Li, Linyi Li, Xin Yu

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 641921 (2006) https://doi.org/10.1117/12.713396
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

Remote sensing image fusion has become one of hotspots in the researches and applications of Geoinformatics in recent years. It has been widely used to integrate low-resolution multispectral images with high-resolution panchromatic images. In order to obtain good fusion effects, high frequency components of panchromatic images and low frequency components of multispectral images should be identified and combined in a reasonable way. However, it is very difficult due to complex processes of remote sensing image formation. In order to solve this problem, a new remote sensing image fusion method based on frequency domain segmenting is proposed in this paper. Discrete wavelet packet transform is used as the mathematical tool to segment the frequency domain of remote sensing images after analyzing the frequency relationship between high-resolution panchromatic images and low-resolution multispectral images. And several wavelet packet coefficient features are extracted and combined as the fusion decision criteria. Besides visual perception and some statistical parameters, classification accuracy parameters are also used to evaluate the fusion effects in the experiment. And the results show that fused images by the proposed method are not only suitable for human perception but also suitable for some computer applications such as remote sensing image classification.

Citation Download Citation

Deren Li, Linyi Li, and Xin Yu "Remote sensing image fusion based on frequency domain segmenting", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641921 (28 October 2006); https://doi.org/10.1117/12.713396

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KEYWORDS

Image fusion

Image segmentation

Multispectral imaging

Remote sensing

Earth observing sensors

Image classification

Wavelets

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