The main objective of processing a digital image is for
information extraction and enhancement of its visual quality
in order to make it more interpretable by a human analyst or
autonomous machine perception. Examples of digital images
are those acquired by digital cameras, sensors on board
satellites or aircrafts, medical equipments, industrial quality
control equipments, etc.
Increasingly, data from multiple sensors are used to gain
complete understanding of Earth processes. Various image
processing technologies have been developed to deal with the
challenges to extract information from remotely sensed data
[1]-[4]. To build a remote sensing application, a processing
procedure must be developed to process the data and,
therefore, generate the expected output. Before analyzing the
images, they have to be geometrically and radiometrically
corrected. This processing phase, called pre-processing, is
essential mainly in applications where the images are acquired
from different sensors and at different times. After this phase,
the images are enhanced to facilitate the information
extraction. Finally, the images are segmented and classified to
produce a digital thematic map.
The users have to be aware that there is not a common