학술논문

Quality assessment of decision-driven pyramid-based fusion of high resolution multispectral with panchromatic image data
Document Type
Conference
Source
IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482) Remote sensing and data fusion over urban areas Remote Sensing and Data Fusion over Urban Areas, IEEE/ISPRS Joint Workshop 2001. :337-341 2001
Subject
Geoscience
Signal Processing and Analysis
Quality assessment
Spatial resolution
Image resolution
Laplace equations
Frequency
Urban areas
Multiresolution analysis
Multispectral imaging
Image sensors
Filtering
Language
Abstract
This work presents a general and formal solution to the problem of fusion of multispectral data with high-resolution panchromatic images. The method relies on the generalized Laplacian pyramid, which is an oversampled structure obtained by subtracting from an image its lowpass version, and selectively performs spatial-frequencies spectrum substitution from one image to another. The novelty of the present work is that a decision based on thresholding the local CC is utilized to check the physical, congruence of fusion, while the ratio of local RMSs between the two images provides a space-varying gain factor by which the injected highpass contribution is equalized. Since the pyramid decomposition is not critically-subsampled, possible impairments in the fused images, due to missing cancellation of aliasing terms, are avoided. Quantitative results are presented and discussed on simulated SPOT 5 data of an urban area (2.5 m P, 10 m XS) obtained from the MIVIS airborne imaging spectrometer.