Multi-source image target detection technology based on salient feature fusion
Journal of Physics: Conference Series, 2021 Abstract The ground target can be easily affected by the complexity of ground objects and photoelectric interference, so the accuracy of target detection in complex background is not always satisfying. To this end, joint target detection of Infrared/Visible image, IR/VI, is adopted, and the feature representation is achieved by applying ...
Yuyong Cui +4 more
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Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data [PDF]
, 2014 This paper proposes a method to combine feature fusion and decision fusion together for multi-sensor data classification. First, morphological features which contain elevation and spatial information, are generated on both LiDAR data and the first few ...
Bellens, Rik +4 more
core +2 more sources
Research on multi-source heterogeneous big data fusion method based on feature level
International Journal of Pattern Recognition and Artificial Intelligence, 2023 Abstract With the development of research on multi-modal data fusion and its combination with online data management, the application of multi-modal big data fusion in theinformation management systems is more and more extensive. How to integrate multi-modal big data effectively is the key technology to building an efficient information ...
Yanyan Chen +6 more
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Multi-source hierarchical conditional random field model for feature fusion of remote sensing images and LiDAR data [PDF]
, 2013 Feature fusion of remote sensing images and LiDAR points cloud data, which have strong complementarity, can effectively play the advantages of multi-class features to provide more reliable information support for the remote sensing applications, such as ...
Heipke, C. +6 more
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Research on Mine Thermodynamic Disaster Monitoring Based on BP Neural Network
Meikuang Anquan, 2020 Aiming at the problems of the monitoring method of thermodynamic disaster in coal mines is single, which are prone to misjudgment and leakage, a method for monitoring thermodynamic disaster of mines based on BP neural network is proposed.
ZHANG Fan, ZHONG Hao
doaj +1 more source
Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios [PDF]
, 2015 Human identification by gait analysis has attracted a great deal of interest in the computer vision and forensics communities as an unobtrusive technique that is capable of recognizing humans at range. In recent years, significant progress has been made,
Chai, Yanmei +5 more
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Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
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Virtual Namesake Point Multi-Source Point Cloud Data Fusion Based on FPFH Feature Difference [PDF]
Sensors, 2021 There are many sources of point cloud data, such as the point cloud model obtained after a bundle adjustment of aerial images, the point cloud acquired by scanning a vehicle-borne light detection and ranging (LiDAR), the point cloud acquired by terrestrial laser scanning, etc. Different sensors use different processing methods.
Li Zheng, Zhukun Li
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Research on Autonomous Obstacle Avoidance Algorithm for Complex Environment of Unmanned Aerial Vehicle Based on Multi-source Sensor Fusion [PDF]
MATEC Web of ConferencesAutonomous obstacle avoidance for UAVs in complex environments is crucial, single sensors have limitations, and multi-source sensor fusion technology has received attention.
Fan Li
doaj +1 more source
Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]
, 2015 The recent proliferation of engineered surfaces, including freeform and structured surfaces, is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms of spatial ...
Ai C +34 more
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