LEADER 03489nam 2200841z- 450 001 9910557613903321 005 20231214132950.0 035 $a(CKB)5400000000045263 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/79658 035 $a(EXLCZ)995400000000045263 100 $a20202203d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplication of Multi-Sensor Fusion Technology in Target Detection and Recognition 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (168 p.) 311 $a3-0365-1352-3 311 $a3-0365-1351-5 330 $aApplication 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. 606 $aInformation technology industries$2bicssc 610 $atarget detection 610 $amulti-platform imaging 610 $aspectral matching 610 $aterrestrial-hyperspectral imagery 610 $aautomated image analysis 610 $aspectral library 610 $amulti-sensor fusion 610 $aobject detection 610 $adeep learning 610 $aconvolutional neural networks 610 $aautonomous vehicles 610 $amarine environment 610 $aco-operative 610 $aautonomous 610 $amulti-robot 610 $aUSV 610 $aAUV 610 $asemantic SLAM 610 $aYOLOv3 610 $aobject based map 610 $aEKF 610 $aspecular reflection detection 610 $aspecular reflection inpainting 610 $atransparent object 610 $amultispectral polarimetric imagery 610 $alight field 610 $amaritime vessel dataset 610 $aship detection 610 $aconvolutional neural network 610 $aautonomous marine navigation 610 $amachine learning 610 $ainversion 610 $aocean colour 610 $aphytoplankton 610 $apigment vertical profile 610 $adeep chlorophyll maximum 610 $aTara Oceans 610 $aMAREDAT 610 $apigments 610 $aITCOMP-SOM 610 $aSelf Organizing Maps 615 7$aInformation technology industries 700 $aHeikkonen$b Jukka$4edt$01319403 702 $aFarahnakian$b Fahimeh$4edt 702 $aHeikkonen$b Jukka$4oth 702 $aFarahnakian$b Fahimeh$4oth 906 $aBOOK 912 $a9910557613903321 996 $aApplication of Multi-Sensor Fusion Technology in Target Detection and Recognition$93033882 997 $aUNINA