Due to the rapid development of precision manufacturing technology, much research has
been conducted in the field of multisensor measurement and data fusion technology with a …

Regarding remote sensing images analysis viewed as a pattern recognition problem, one
has to take into account numeric and symbolic knowledge about searched classes and …

This paper deals with the automatic detection of sugarcane harvesting using multi-source
information fusion. Information extracted from multi-temporal imagery is fused with indicators …

We propose a method for analysing still images relying on fusion of information obtained
from several complementary processing channels. Each processing path works in three …

The measurement uncertainty in physical sensors is often represented by a probabilistic
approach. But such a representation of measurements is not always adapted to the …

摘要随着精密制造技术的迅速发展, 为提高制造的效率和精度, 科研人员在多传感器测量和数据
融合技术领域开展了大量的研究工作以提升监测系统的测量精度和信息丰富性 …

Real time vision systems in an outdoor environment involve an increase of the algorithm
complexity in order to solve the application with an acceptable autonomy. In our application …

Several classifier combination approaches have been proposed in machine learning
literature in order to enhance the performance of simple learning schemes. This paper …

It is critical to provide an efficient and accurate information system in the post-disaster phase
for individuals' in order to access and obtain the necessary resources in a timely manner; but …

In the field of data mining, one of the main objectives is to achieve the highest possible
classification accuracy. This paper presents a classifier fusion system based on the …