الفهرس 
chapter 1Only 14 pages are availabe for public view
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Abstract
Raw remotely sensed data, gathered by a satellite are representations of
the irregular surface of the Earth, at a certain period of time. Depending on the
type of sensor and platform used, data acquired by remote sensing techniques
contain a number of radiometric and geometric distortions.
Many different types of digital image processing can be performed, such
as preprocessing operations, image enhancement, image classification. and
data merging or image fusion. The last type of digital image processing, which
is called data merging or data fusion, combines image data for a certain
geographic area with other geographically referenced information in the same
area, which could be another type of image or one or more products of the
same satellite. This means that images should be gee-coded (geo-referencing),
before being merged together. However, in the present research, the main
interest will be focused, on the first and last types of image processing,
namely: those connected with image distortion corrections (both radiometric
and geometric), image gee-referencing, and image fusion.
In addition, this research explores the idea of combining geographically
corrected or gee-referenced images, froin different sensors mounted on the
same remote sensing satellites, or from different imageries taken from
different imagery systems, using digital image fusion techniques to produce
and update surveying maps in Egypt. The results of the present investigation
will be useful, for building the different layers of Geographic Information
System (GIS), as well as for many remotely sensed data users, such as:
photogrammetrists, urban planners, soil scientists, water resources managers
and many other users.
The main objective of this research in the first stage is to assess the
accuracy of maps, produced by image fusion technique from high resolution
world-veiw2 image, and Egypt-satl image covering a test site in Zagazig, EI-