D - SCHNEIDER, MARIO JORGE.pdf - Universidade Federal do ...

ABSTRACT
The techniques for fusion of satellite images of different spatial resolutions
aims to enhance the image quality, for example, spatial details. This
enhancement allows better visual interpretation. Ideally, the resulting image must
keep the spectral resolution, leading to a more precise image segmentation and
classification.
Many different fusion methods have been proposed to perform the image
fusion for medium resolution images, for example, Landsat TM and SPOT. The
IKONOS2 satellite became possible the obtaining of images of high space
resolution (1 meter in the panchromatic mode) that contains spatial information
for several mapping and urban area analysis applications. However, the
multispectral image, that provides important spectral information for thematic
applications, is obtained with spatial resolution of 4 meters.
This work compares the results of five traditional methods (Substitution,
I HS Transform, HSV Transform, Substitution of the Principal Component and
High-Pass Filtering) in the fusion of the panchromatic and multispectral images of
the IKONOS satellite, evaluating the applicability of those methods in high
resolution images.
The analysis of the results is done based in: 1) visual analysis, 2)
comparisons of the correlation coefficient and, 3) classification of the hybrid
image. The test area corresponds to an urban region with different land cover
types, as constructions with different types of tiles, arboreal and low vegetation,
water, exposed soil and streets.
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