Multisensor data fusion is an emerging technology applied to Department of Defense (DoD) areas such as automated target recognition (ATR), identification-friend-foe-neutral (IFFN) recognition systems, battlefield surveillance, and guidance and contr
This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator n
872经典英文版，你值得拥有。Multisensor data fusion seeks to combine information from multiple sources (including sensors, human reports, and data from the Internet) to achieve inferences that cannot be obtained from a single sensor or source, or whose quality e
Multisensor image fusion could improve system performances such as detection, tracking, and identification greatly. In this paper, a long distance target detection approach is presented based on multisensor image features fusion. This method extracts
A new automatic feature-based registration algorithm of multisensor images with affine deformation is presented. Although the feature-based registration methods have an advantage in reducing computational load over the area-based ones, certain typica
In multisensor information fusion, the key problems are the representation of sensor report and the combination methodology of sensor information. In this paper, we propose a novel method for the fusion of multisensor information. Within the proposed
