Cloud computing is a new technology, which is the fusion of computer technology and Internet development. It will lead
the revolution of IT and information field. However, in cloud computing data and application software is stored at large
data centers, and the management of data and service is not completely trustable, resulting in safety problems, which is
the difficult point to improve the quality of cloud service. This paper briefly introduces the concept of cloud computing.
Considering the characteristics of cloud computing, it constructs the security architecture of cloud computing. At the
same time, with an eye toward the security threats cloud computing faces, several corresponding strategies are provided
from the aspect of cloud computing users and service providers.
The maximum likelihood classification (MLC) is one of the most popular methods in remote sensing image
classification. Because the maximum likelihood classification is based on spectrum of objects, it cannot correctly
distinguish objects that have same spectrum and cannot reach the accuracy requirement. In this paper, we take an area of
Langfang of Hebei province in China as an example and discuss the method of combining texture of panchromatic image
with spectrum to improve the accuracy of CBERS02 CCD image information extraction. Firstly, analysis of the textures
of the panchromatic image (CCD5) made by using texture analysis of Gray Level Coocurrence Matrices and statistic
index. Then optimal texture window size of angular second moment, contrast, entropy and correlation is obtained
according to variation coefficient of each texture measure for each thematic class. The chosen optimal window size is
that from which the value of variation coefficient starts to stabilize while having the smallest value. The output images
generated by texture analysis are used as additional bands together with other multi-spectral bands(CCD1-4) in
classification. Objects that have same spectrums can be distinguished. Finally, the accuracy measurement is compared
with the classification based on spectrum only .The result indicates that the objects with same spectrum are distinguished
by using texture analysis in image classification, and the spectral /textural combination improves more than spectrum
only in classification accuracy.
Image fusion is a very useful technique of obtaining high-resolution multi-spectral images from low spatial resolution multi-spectral and high-resolution panchromatic images. Nowadays many fusion techniques are available. However, those conventional fusion techniques existed also some shortcomings, which could not keep balance for preserving spectral information very well in a fused image with high-resolution spatial information. Hence, in this research a recent and efficient technique of fusion based on wavelet transformation was applied. The results presented the wavelet transform method is proved to be the best option for visual appreciation, preserving most 93% of the spectral information content, and as well improving the interpretability of low-resolution multi-spectral image classification. Meanwhile the results also further show the application potentiality of fusion technique based on wavelet transform for improving urban land classes in urban fringe.
The geological survey was used to a common method before, in which the representation form of the survey results also was very old, especially aspects of location distributing, growth dimensions for hazard bodies, etc. It is thought a lack of veracity in work. This paper, by the geological hazards survey in Fengjie-Badong sect (case study) regarded as an example, illuminates to be capable of rightly drawing the size and position of hazard bodies with application of satellite remote sensing technology and assistant aerial images. It will most important for externally showing the status of geological hazard growth and for truly expressing the disserving of the whole Sanxia immigrant project caused by geological hazard. This remote sensing application has established foundation for carrying through geological hazard survey in the whole Sanxia reservoir areas.
In accordance with remote sensing geology research on TM and MSS images, this paper indicates that being the only source of fresh water for Loulan City, the ancient Konque river was only one flowing through the Loulan area at that time. Being formed two barrier lakes, the blocked river cut off the source of water to this city because the upper reach of the river happened landslides twice early or late. The ancient city finally was abandoned for lack of supplying water until disappearance.