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上海佳實大力發展檢測系統的數據融合等域

上海佳實電子科技有限公司檢測儀域的潮流，喜迎測定儀的變革，引入的數據融合技術開發水分測量儀，目的在于使得測量結果可以排除多的干擾，測量加準確，效率加，讓我們靜待花開，等待上海佳實的研發人員開發出好快準的系統。

數據融合
現在數據融合的主要應用域有：多源影像復合、機器人和智能儀器系統、無人駕駛飛機、圖像分析與理解、目標檢測與跟蹤、自動目標識別等等。在測量過程中，數據融合屬于種屬性融合，它是將同地區的多源遙感影像數據加以智能化合成，產生比單信息源、*、可靠的估計和判斷。信息具有以下特點： 
1.冗余性； 
2.互補性；
3.合作性；
4.信息分層的結構特性：數據融合所處理的多源遙感信息可以在不同的信息層次上出現，這些信息抽象層次包括像素層、特征層和決策層，分層結構和并行處理機制還可系統的實時性。

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.