Multispectral image sharpening using a shift-invariant wavelet transform and adaptive processing of multiresolution edges

George P. Lemeshewsky

doi:10.1117/12.477580

30 July 2002 Multispectral image sharpening using a shift-invariant wavelet transform and adaptive processing of multiresolution edges

George P. Lemeshewsky

Author Affiliations +

Proceedings Volume 4736, Visual Information Processing XI; (2002) https://doi.org/10.1117/12.477580
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

Enhanced false color images from mid-IR, near-IR (NIR), and visible bands of the Landsat thematic mapper (TM) are commonly used for visually interpreting land cover type. Described here is a technique for sharpening or fusion of NIR with higher resolution panchromatic (Pan) that uses a shift-invariant implementation of the discrete wavelet transform (SIDWT) and a reported pixel-based selection rule to combine transform coefficients. There can be contrast reversals (e.g., at soil-vegetation boundaries between NIR and visible band images) and consequently degraded sharpening and edge artifacts. To improve performance for these conditions, I used a local area-based correlation technique originally reported for comparing image-pyramid-derived edges for the adaptive processing of wavelet-derived edge data. Also, using the redundant data of the SIDWT improves edge data generation. There is additional improvement because sharpened subband imagery is used with the edge-correlation process. A reported technique for sharpening three-band spectral imagery used forward and inverse intensity, hue, and saturation transforms and wavelet-based sharpening of intensity. This technique had limitations with opposite contrast data, and in this study sharpening was applied to single-band multispectral-Pan image pairs. Sharpening used simulated 30-m NIR imagery produced by degrading the spatial resolution of a higher resolution reference. Performance, evaluated by comparison between sharpened and reference image, was improved when sharpened subband data were used with the edge correlation.

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George P. Lemeshewsky "Multispectral image sharpening using a shift-invariant wavelet transform and adaptive processing of multiresolution edges", Proc. SPIE 4736, Visual Information Processing XI, (30 July 2002); https://doi.org/10.1117/12.477580

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