Introduction to Multisensor Information

What is/are Multisensor Information?

Multisensor Information - The use of multisensor information fusion(MSIF) presents an ideal scenario to deal with uncertainty,especially when adding resources of the theory of evidence,also called Dempster–Shafer Theory (DST). ^[1] In order to explore the intelligent education mode in the context of the Internet of Things, this paper combines the Internet of Things technology and sensor technology to improve the sensor technology and proposes a multisensor information fusion technology based on Kalman filtering. ^[2] Based on the characteristics of small target optical imaging, this paper fully utilizes the frontier theoretical methods in the field of image processing and proposes a small target recognition algorithm process framework based on visible and infrared image data fusion and improves the accuracy as well as stability of target recognition by improving the multisensor information fusion algorithm in the photoelectric meridian tracking system. ^[3] In addition, in order to solve the problem of multisensor information fusion, this paper improves the sensor fusion algorithm to make it suitable for the information fusion of vision sensors and information sensors. ^[4] This paper combines the BP multisensor information fusion algorithm to screen and process the data and designs a multisensor information fusion-based competency evaluation model for highly skilled talents. ^[5] Since entering the 21st century, multisensor information fusion technology has developed rapidly, and multisensor information fusion is a trend in the coming years and even decades. ^[6] These networks can effectively reconstruct multisensor information by refining the generator loss function, so that the enhanced MFL information can be better applied for defect characterization. ^[7] Joint use of multisensor information has attracted considerable attention in the remote sensing community. ^[8] A deep belief network (DBN) is introduced into the multisensor information fusion model to identify uncertain and unknown, continuously changing fault patterns of the deep-sea HOV thruster. ^[9] In order to make full use of underwater acoustic and optical images, and promote the development of multisensor information fusion (MSIF) technology, this letter proposes to apply an image attribute transfer algorithm and advanced local feature descriptor to solve the problem of underwater acousto-optic image matching. ^[10] Experimental results demonstrate the effectiveness and superiority of the proposed MSCAN in fusing multisensor information and improving RUL prediction accuracy. ^[11] extrinsic parameters) of heterogeneous sensory systems should be available before precisely fusing the multisensor information. ^[12] In this paper, multisensor information fusion method is applied to space target recognition. ^[13] In particular, we prove their ralations in detail and apply them to fuse multisensor information to obtain different observation range. ^[14] This paper systematically analyzes and summarizes several typical localization and navigation methods of underwater robots, such as multisensor information fusion technology, underwater acoustic localization and navigation methods, GPS buoy, underwater vision, SLAM and coordinate localization and navigation of multiple underwater robots. ^[15] Then, based on the multisensor information fusion problem of the aircraft secondary distribution system, an RBF network model suitable for the aircraft secondary distribution system is established. ^[16] The experimental results indicate that the proposed algorithm not only accurately segmented the dynamic data streams but also effectively realized multisensor information fusion and improved the real-time target monitoring under small-sample conditions. ^[17] Considering the major factors in the sensory evaluation of tea, the study integrated multisensor information, including spectral, image and olfaction feature information. ^[18] To address the railway track section occupation detection failure, this paper proposes a maximum posterior probability model that uses multisensor information fusion to detect track occupation. ^[19] It enables data level fusion of multisensor information. ^[20]

multisensor information fusion

The use of multisensor information fusion(MSIF) presents an ideal scenario to deal with uncertainty,especially when adding resources of the theory of evidence,also called Dempster–Shafer Theory (DST). ^[1] In order to explore the intelligent education mode in the context of the Internet of Things, this paper combines the Internet of Things technology and sensor technology to improve the sensor technology and proposes a multisensor information fusion technology based on Kalman filtering. ^[2] Based on the characteristics of small target optical imaging, this paper fully utilizes the frontier theoretical methods in the field of image processing and proposes a small target recognition algorithm process framework based on visible and infrared image data fusion and improves the accuracy as well as stability of target recognition by improving the multisensor information fusion algorithm in the photoelectric meridian tracking system. ^[3] In addition, in order to solve the problem of multisensor information fusion, this paper improves the sensor fusion algorithm to make it suitable for the information fusion of vision sensors and information sensors. ^[4] This paper combines the BP multisensor information fusion algorithm to screen and process the data and designs a multisensor information fusion-based competency evaluation model for highly skilled talents. ^[5] Since entering the 21st century, multisensor information fusion technology has developed rapidly, and multisensor information fusion is a trend in the coming years and even decades. ^[6] A deep belief network (DBN) is introduced into the multisensor information fusion model to identify uncertain and unknown, continuously changing fault patterns of the deep-sea HOV thruster. ^[7] In order to make full use of underwater acoustic and optical images, and promote the development of multisensor information fusion (MSIF) technology, this letter proposes to apply an image attribute transfer algorithm and advanced local feature descriptor to solve the problem of underwater acousto-optic image matching. ^[8] In this paper, multisensor information fusion method is applied to space target recognition. ^[9] This paper systematically analyzes and summarizes several typical localization and navigation methods of underwater robots, such as multisensor information fusion technology, underwater acoustic localization and navigation methods, GPS buoy, underwater vision, SLAM and coordinate localization and navigation of multiple underwater robots. ^[10] Then, based on the multisensor information fusion problem of the aircraft secondary distribution system, an RBF network model suitable for the aircraft secondary distribution system is established. ^[11] The experimental results indicate that the proposed algorithm not only accurately segmented the dynamic data streams but also effectively realized multisensor information fusion and improved the real-time target monitoring under small-sample conditions. ^[12] To address the railway track section occupation detection failure, this paper proposes a maximum posterior probability model that uses multisensor information fusion to detect track occupation. ^[13]