|
Optimal Processing Techniques for SAR
Presented at EUROPTO (Barcelona, Spain) 1998.
Cite this paper as:
David Stewart, Rod Cook, Ian McConnell and Chris Oliver,
`Optimal processing techniques for SAR',
in Image and Signal Processing for Remote Sensing IV,
edited by S. B. Serpico,
Proc. SPIE 3500 (1998) pp377-384.
Abstract
In the history of SAR image processing, many algorithms have been proposed
to tackle the problems of segmentation, classification and edge detection.
They are typically heuristic in basis, and more successful on some types of
imagery than others. With the development of global optimisation methods it
has now become possible to produce optimal techniques; that is, those which
can genuinely achieve the optimal solution of the posed problem. The problem
is characterised by an objective function and the chosen optimisation
technique. The most successful and wide-spread method has been simulated
annealing and we detail its application in the fields of segmentation and
classification. The performance of the resulting algorithms on various SAR
imagery is given.
|
|
|
