Attitude fluctuation of satellite platform is a crucial error source that influences the performance of the satellite
surveying and mapping and extensively existed in all spacecrafts. Verification and detection of fluctuation frequency of
the high spatial resolution remote sensing satellite plays a key role in farther optimizing the geo-location accuracy when
the geometric accuracy of satellite reaches a fairly high precision. In this paper, an approximate sampling theorem is
designed to verify and detect the attitude fluctuation frequency of satellite, and this novel method is based on Nyquist-
Shannon sampling theorem, which applies ingeniously attitude acquisition time interval. The sampling interval of this
approach will be appropriately altered by proposed sampling model while the satellite attitude acquisition frequency is
not proportional to the fluctuation frequency. A simulative triangular wave and a strip attitude data of ZY-3 obtained
while satellite was early on-orbit are experimented, and these results demonstrate the following findings: 1)the method
proposed is effective and can filter irrelevant wave partially; 2)the fluctuation components obtained contain a distinct
frequency of around 0.67Hz meets the inherent frequency of ZY-3 detected by other methods.
The strong demands for satellite images are increasing not only in professional fields, but also in the non-professionals.
But the online map services with up-to-date satellite images can serve few demands. One challenge is how to provide
online processing service, which need to handle real-time online data-intensive geospatial computation and visualization.
Under the background of the development of cloud computing technology, the problem can be figured out partly. The
other challenge is how to implement user-customized online processing without professional background and
knowledge. An online self-service processing system of ZY-3 Satellite images is designed to implement an on-demand
service mode in this paper. It will work with only some simple parameters being set up for the non-professionals without
having to care about the specific processing steps. And the professionals can assemble the basic processing services to a
service chain, which can work out a more complex processing and a better result. This intelligent self-service online
system for satellite images processing, which is called the prototype of satellite image cloud service in this paper, is
accelerated under the development of cloud computing technology and researches on data-intensive computing. To
realize the goal, the service mode and framework of the online self-service processing system of ZY-3 Satellite images
are figured out in this paper. The details of key technologies are also discussed, including user space virtualization
management, algorithm-level parallel image processing, image service chain construction, etc. And the experimental
system is built up as a prospective study of image cloud services.
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