Multispectral multisensor image fusion using wavelet transforms

George P. Lemeshewsky

doi:10.1117/12.354709

21 July 1999 Multispectral multisensor image fusion using wavelet transforms

George P. Lemeshewsky

Proceedings Volume 3716, Visual Information Processing VIII; (1999) https://doi.org/10.1117/12.354709
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Fusion techniques can be applied to multispectral and higher spatial resolution panchromatic images to create a composite image that is easier to interpret than the individual images. Wavelet transform-based multisensor, multiresolution fusion was applied to Landsat thematic mapper multispectral and coregistrated higher resolution SPOT panchromatic images. The objective was to obtain increased spatial resolution, false color composite products to support the interpretation of land cover types wherein the spectral characteristics of the imagery are preserved to provide the spectral clues needed for interpretation. Since the fusion process should not introduce artifacts, a shift invariant implementation of the discrete wavelet transform (SIDWT) was used. These results were compared with those using the shift variant, discrete wavelet transform (DWT). Overall, the process includes a hue, saturation, and value color space transform to minimize color changes, and a reported point- wise maximum selection rule to combine transform coefficients. The performance of fusion based on the SIDWT and DWT was evaluated with a simulated TM 30-m spatial resolution test image and a higher resolution reference. Simulated imagery was made by blurring higher resolution color-IR photography with the TM sensors' point spread function. The SIDWT based technique produced imagery with fewer artifacts and lower error between fused images and the full resolution reference. Image examples with TM and SPOt 10-m panchromatic illustrate the reduction in artifacts due to the SIDWT based fusion.

Citation Download Citation

George P. Lemeshewsky "Multispectral multisensor image fusion using wavelet transforms", Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); https://doi.org/10.1117/12.354709

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