Remote Sensing: Models and Methods for Image Processing - ISBN:0123694078

Remote Sensing: Models and Methods for Image Processing

Date: 15 April 2011, 00:07

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This book began as a rather conservative revision of my earlier textbook,
Techniques for Image Processing
and Classification in Remote Sensing
. Like many “limited” endeavors, however, it soon
grew to be a much larger project! When it became clear that simply a revision would not suffice, I
gave considerable thought on a new way to present the subject of image processing in the context of
remote sensing. After much mental wandering about, it became clear that there was a unifying
theme through many of the image processing methods used in remote sensing, namely that they are
based, directly or indirectly, on
models
of physical processes. In some cases there is a direct dependence,
for example, on physical models that describe orbital geometry or the reflectance of radiation.
In other cases, the dependence is indirect. For example, the common assumption of data
similarity implies that neighboring pixels in the space or spectral domains are likely to have similar
values. The origin of this similarity is in the physical processes leading up to the acquisition of the
data, and in the acquisition itself. In nearly all cases, the motivation and rationale for remote sensing
image processing algorithms can be traced to an assumption of one or more such models. Thus,
I settled on this viewpoint for the book.

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