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In this paper, a novel approach is proposed for unsupervised change detection of multitemporal remote sensing images. The proposed method is able to produce the change detection result on the difference image without a priori assumptions .Firstly, the difference image which is acquired from multitemporal images. Mean shift algorithm is used to reduce noise of difference image and fake change. Then...
Human visual system function is non-uniform to visual perception. Normally, people tend to focus on one or more specific moving objects while watching video. In addition, video transmission is flawed due to heterogeneous networks and limited bandwidth. Therefore, how to transmit the content of interests more efficiently becomes a growing concerning topic. This paper proposes a method of multi-region...
The linear mixture model is a convenient way to describe image pixels as a linear combination of pure spectra - termed end-members. The fractional contribution from each end-member is calculated through inversion of the linear model. Despite the simplicity of the model, a nonnegativity constraint that is imposed on the fractions leads to an unmixing problem for which it is hard to find a closed analytical...
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information into the energy function in a recursive and cached manner. It induces little or no additional computational cost in the overall minimization process, and can better represent the underlying energy leading to fewer total computations...
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