Segmentation of Satellite Imagery Using Hierar- Computer Processing of Remotely-Sensed Im- chical Thresholding and Neural Networks (J. E. ages (Paul M. Mather, 1987, 352 pp., $42.95, paper- Peak, 1991,58 pp., $ unavailable, paperbound, Naval bound, Wiley & Sons, ISBN 0-471-92653-1). This Oceanographic and Atmospheric Research Labora- book is an introduction to computer techniques of tory, Technical Note 185). A significant task in the image processing that are applied to the multispectral automated interpretation of cloud features on satellite images acquired from satellites and aircraft, written at imagery is the segmentation of the image into sepa- a level suitable both for students and for professionals rate cloud features that are to be identified. A new moving into the field. The book begins with a survey of technique, hierarchical threshold segmentation (HTS), underlying physical principles and goes on to consider is presented. In HTS, regional boundaries are defined the nature and sources of remotely sensed data. A over a range of gray-shade thresholds. The hierarchy chapter is devoted to the description of computer of the spatial relationships between collocated regions systems used in remote sensing. The remaining chap- from different thresholds is represented in tree form. ters are concerned with techniques
Bulletin of the American Meteorological Society – American Meteorological Society
Published: Jul 1, 1992
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