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Because of the local deformation of SAR images Registration of Multiband SAR images with high accuracy(sub-pixel accuracy) is a very difficult problem. This paper present an automatic Coarse-to-Precise(global-to-local) subpixel registration framework to track it. Firstly, affine SIFT method is adopted to get affine parameter of global transformation between registered images. After global registration,...
Aim at the problems of features points is difficult to extract, image deformation is difficult to estimate and low registration accuracy in synthetic aperture radar (SAR) image. This paper present a hybrid SAR image registration algorithm base on speeded up robust features (SURF) and mutual information. The hybrid registration algorithm consists of coarse registration and fine registration, respectively...
Most of overlapping community detection algorithms cannot be applied to networks with highly overlapping community such as online social networks where individuals belong to many communities. One important reason is that many algorithms detect communities based on the explicit borders where nodes have more connections inside the communities, however, when the vertices' membership number gets large,...
In order to improve the depth control of an underwater vehicle, a depth adjuster with the moving weight and a servo mechanism is designed. The dynamic model of the interaction between the underwater vehicle and the depth adjuster is analyzed. The terminal sliding mode controller is used to control the displacement of the moving mass and the depth of the whole system. Simulations show that the proposed...
Peer-to-Peer (P2P) technology has been widely used in file-sharing, distributed computing, e-market and information management. However, one of the critical challenges for P2P systems is the ability to manage risks involved in interacting and collaborating with prior unknown and potentially malicious peers. Reputation systems can successfully minimize the potential damages to the P2P systems by computing...
The research proposed an approach that based on domain partitional Markov decision process to make decisions about the protection and defense against cyber attacks. We partitioned the network into several security domains. Markov decision models were made in each domain, with each state established by situational awareness. Strategy sets were set according to the system states. Cost-benefit factors...
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