Application of Multi-Sensor Fusion Technology in Target Detection and Recognition

• Altri autori: Heikkonen, Jukka (Redattore), Farahnakian, Fahimeh (Redattore)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Soggetti: Information technology industries; 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
• Accesso online: DOAB: download the publication; DOAB: description of the publication

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...