@Conference{Bea1990b,
author = {Beaulieu, Jean-Marie},
editor = {},
title = {Hierarchical Segmentation of {SAR} Picture},
booktitle = {Image'Com 90, Bordeaux},
volume = {},
publisher = {},
url = {},
isbn = {},
doi = {},
address = {},
pages = {392-397},
year = {1990},
month = {Nov.},
abstract = {The segmentation of SAR (Synthetic Aperture Radar) pictures is greatly complicated by the presence of coherent speckle in the image. The complex structure of the SAR pictures requires the utilization of a composite criterion for the segmentation. This paper takes advantage of a powerful hierarchical segmentation technique based upon step-wise optimization. The algorithm could easily be adapted to complex criterion. We present a two stage approach. A constant approximation criterion is first employed to yield an initial partition of the image. Then, a composite criterion is employed to continue the merging. The segment means and variances are then exploited in the step-wise criterion (segment similarity measure). Moreover, the segment shape is employed to reduce the formation of random contours. Good segmentation results are obtained, and they compare advantageously with other segmentation approaches. The algorithm produces a good separation of regions, and in the same time, yields accurate boundary location.},
mypdf = {7},
keywords = {}
}