Multi-sensor Data Processing Research Articles

Modeling for Safety Evaluation of Coal Mine Roof Based on Information Fusion

Factors that affect the safety of coal mine roof is a multi-faceted, information fusion technology can take full advantage of multi-source information complementary, comprehensive, and improving information quality and credibility of coal mine roof safety. In analyzing the current monitoring means, a coal mine roof safety evaluation model is presented based on information fusion, and given information processing steps of multi-sensor data analysis, processing, distribution and integration based on Dempster-Shafer evidence theory; For the elimination of multi-source data fusion of uncertain factors, proposed coal mine roof safety decision-making rules; The simulation analysis shows that the validity of the model and practicality.

Remote Sensing Data Fusion on Intelligent Terminals

This paper focuses on the possibilities offered by intelligent terminals applied to multisensor image data processing. The state of the art of remote sensing and its future developments are briefly analyzed in order to underline the need of an intelligent use of the large amount of data that will be available in future years. Data fusion is introduced as an interesting technique both to combine data collected by remote sensors and to extract the information which is not available from each separate informative channel. Artificial neural networks are presented as a powerful tool to be used in data fusion processing because of their capability to process data without any a priori information of the data set. An example of neural network processing on multisensor airborne data is given in order to show the effective possibility offered by an intelligent terminal in high level processing of multisensor data.

Visualization resources and strategies for remote subsea exploration

Common resources and strategies are described for graphics and imaging applications in remote subsea exploration. What is meant by resources are the hardware, software, and human assets that constitute sea-going and shore-based systems; strategies encompass the architectural, engineering, and practical aspects of making such a visualization environment operational and productive. Emphasis is placed on current applications within the oceanographic community for search/survey/mapping (towed, unmanned systems), remotely operated vehicles and submersibles (man-in-the-loop systems), and autonomous underwater robots (intelligent systems). For these applications, a common goal is the acquisition and processing of underwater remote-sensor data to create a model of the subsea terrain. Visualization tools offer an important means of conveying the information contained in such a model. Dominant requirements within this context are the management, processing, and presentation of high-bandwidth, multisensor data, including optical and acoustic imagery, laser and sonar bathymetry, and other physical data sets. Specific visualization tools are used for image processing, volumetric modeling, terrain visualization, real-time operator displays, and mapping and geographic information systems as well as for scientific and engineering research and development.