different methods arising from scientific investigation for removing noise from chaotic signals have been introduced and one of their best is local projection approach. the local projection approach projects the chaotic data in the neighborhood onto the hyper-plane. selection of neighborhood radius has a direct impact on its performance. a noticeable feature associated with chaotic trajectories...

It is difficult to determine the health of rice for simple vegetation index (NDVI) thresholding method which is widely used through remote sensing technology in crop disaster monitoring. The study selected binary logistic regression which were respectively established vegetation index getting from measured spectral and the relationship model between health status. The results show that the tria...

Title of dissertation: HARMONIC ANALYSIS INSPIRED DATA FUSION FOR APPLICATIONS IN REMOTE SENSING Timothy J. Doster, Doctor of Philosophy, 2014 Dissertation directed by: Professor John J. Benedetto Department of Mathematics Professor Wojciech Czaja Department of Mathematics This thesis will address the fusion of multiple data sources arising in remote sensing, such as hyperspectral and LIDAR. Fu...

development, a concept that is called often to process of moving from point to another that covers various aspects such as economic growth, structural change, industrialization, self-actualization and cultural, religious, national and individual self-reliance. a sustainable development is a new concept of economic growth. a growth that is as justice and opportunity for all people that living in...

We analyze the dynamics of a two-dimensional cellular automaton, 2D Minority, for the Moore neighborhood (eight neighbors per cell) under fully asynchronous dynamics (where only one random cell updates at each time step). Even if 2D Minority seems a simple rule, from the experience of Ising models and Hopfield nets, it is known that models with negative feedback are hard to study. This automato...

A new rough-fuzzy model for pattern classification based on granular computing is described in the present article. In this model, we propose the formulation of class-dependent granules in fuzzy environment. Fuzzy membership functions are used to represent the feature-wise belonging to different classes, thereby producing fuzzy granulation of the feature space. The fuzzy granules thus generated...

We address lossy compression of noisy remote sensing images, where the noise is supposed to be spatially uncorrelated (white), additive originally or after a proper variancestabilizing transformation (VST). In such situations, the so-called optimal operation point (OOP) might exist. The OOP is associated with the parameter that controls compression (e.g., quantization step) for which the compre...

Information gathering is among issues continually obtaining consideration in zone of remote sensor systems (WSNs). There is a reliable increment in examination coordinated on additions of applying versatile components (MEs) to gather information from sensors, particularly those situated to power issues. Two winning systems used to gather information in sensor systems. Main methodology requires ...