Application of Multi-Sensor Fusion Technology in Target Detection and Recognition
Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and the military. These methods can obtain the comp...
Furkejuvvon:
| Materiálatiipa: | Online |
|---|---|
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Fáttát: | |
| Liŋkkat: | ONIX_20220321_9783036513522_94 |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
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| _version_ | 1869524913615798272 |
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| collection | Directory of Open Access Books |
| description | Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and the military. These methods can obtain the complementary properties of targets by considering multiple sensors. On the other hand, they can achieve a detailed environment description and accurate detection of interest targets based on the information from different sensors.This book collects novel developments in the field of multi-sensor, multi-source, and multi-process information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Published papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems. |
| format | Online |
| id | doab-20.500.12854ir-79658 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-796582024-03-30T12:51:11Z Application of Multi-Sensor Fusion Technology in Target Detection and Recognition Heikkonen, Jukka Farahnakian, Fahimeh target detection multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and the military. These methods can obtain the complementary properties of targets by considering multiple sensors. On the other hand, they can achieve a detailed environment description and accurate detection of interest targets based on the information from different sensors.This book collects novel developments in the field of multi-sensor, multi-source, and multi-process information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Published papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems. 2022-03-21T16:29:41Z 2022-03-21T16:29:41Z 2022 book ONIX_20220321_9783036513522_94 9783036513522 9783036513515 https://directory.doabooks.org/handle/20.500.12854/79658 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5043 https://mdpi.com/books/pdfview/book/5043 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1351-5 10.3390/books978-3-0365-1351-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036513522 9783036513515 168 Basel open access |
| spellingShingle | target detection multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| title | Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| title_full | Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| title_fullStr | Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| title_full_unstemmed | Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| title_short | Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
| title_sort | application of multi sensor fusion technology in target detection and recognition |
| topic | target detection multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | target detection multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20220321_9783036513522_94 |