上海佳实大力发展检测系统的数据融合等域

上海佳实电子科技有限公司检测仪域的潮流，喜迎测定仪的变革，引入的数据融合技术开发水分测量仪，目的在于使得测量结果可以排除多的干扰，测量加准确，效率加，让我们静待花开，等待上海佳实的研发人员开发出好快准的系统。

数据融合
现在数据融合的主要应用域有：多源影像复合、机器人和智能仪器系统、无人驾驶飞机、图像分析与理解、目标检测与跟踪、自动目标识别等等。在测量过程中，数据融合属于种属性融合，它是将同地区的多源遥感影像数据加以智能化合成，产生比单信息源、*、可靠的估计和判断。信息具有以下特点： 
1.冗余性； 
2.互补性；
3.合作性；
4.信息分层的结构特性：数据融合所处理的多源遥感信息可以在不同的信息层次上出现，这些信息抽象层次包括像素层、特征层和决策层，分层结构和并行处理机制还可系统的实时性。

Shanghai Jiashi vigorously develops data fusion and other fields of detection systems

The trend of detectors in Shanghai Jiashi Electronic Technology Co., Ltd. welcomes the revolution of measuring instruments and introduces advanced data fusion technology to develop moisture measuring instruments. The purpose is to make the measurement results more interference, more accurate and more efficient. Let us wait for the flowers to bloom, waiting for Shanghai Jiashi's R&D personnel to develop a better, faster and more accurate system.

Data Fusion
The main application areas of data fusion are: multi-source image composite, robot and intelligent instrument systems, drones, image analysis and understanding, target detection and tracking, automatic target recognition and so on. In the measurement process, data fusion belongs to a kind of attribute fusion. It intelligently synthesizes multi-source remote sensing image data in the same region, resulting in more complete and reliable estimation and judgment than a single information source. Information has the following characteristics:
1. Redundancy;
2. Complementarity;
3. Cooperation;
4. Structural characteristics of information stratification: Multi-source remote sensing information processed by data fusion can appear at different information levels. The abstraction level of these information includes pixel layer, feature layer and decision layer. Hierarchical structure and parallel processing mechanism can also Guarantee the real-time nature of the system.