FRACTAL COMPRESSION AND ANALYSIS ON REMOTELY SENSED IMAGERY - Xiao, Ke
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Remote sensing images contain huge amount of geographical information and reflect the complexity of geographical features and spatial structures. As the means of observing and describing geographical phenomena, the rapid development of remote sensing has provided an enormous amount of geographical information. The massive information is very useful in a variety of applications but the sheer bulk of this information has increased beyond what can be analyzed and used efficiently and effectively. This uneven increase in the technologies of gathering and analyzing information has created…mehr

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Produktbeschreibung
Remote sensing images contain huge amount of geographical information and reflect the complexity of geographical features and spatial structures. As the means of observing and describing geographical phenomena, the rapid development of remote sensing has provided an enormous amount of geographical information. The massive information is very useful in a variety of applications but the sheer bulk of this information has increased beyond what can be analyzed and used efficiently and effectively. This uneven increase in the technologies of gathering and analyzing information has created difficulties in its storage, transfer, and processing. Fractal geometry provides a means of describing and analyzing the complexity of different geographical features in remotely sensed images. It also provides a more powerful tool to compress the remote sensing data than traditional methods. This study suggests, for the first time, the implementation of this usage of fractals to remotely sensed images.
Autorenporträt
Dr. Ke Xiao is from China. He was self-taught for middle and high school. He got B.E. in Computer Science at University of Science and Technology, Harbin; M.Sc in Mapping and Remote Sensing at Chinese Academy of Sciences; and PhD in Remote Sensing and GIS in 2003 at Louisiana State University. Now he is faculty in LSU Health Sciences Center, USA.