00921cam0-22003011i-450-99000540469040332120111103110237.0000540469FED01000540469(Aleph)000540469FED0100054046919990604d1953----km-y0itay50------baturTRa-------001yyKapidagi Yarimadasi ve çevresindeki AdalarTarih ve Arkeolojisi Üzerinde ArastirmalarResit Mazhar ErtüzünIstanbulÇituri Biraderler Basimevi1953IX, 278 p.ill.25 cmTurchiaStoria956.119itaErtüzün,Resit M.398710ITUNINARICAUNIMARCBK990005404690403321956.1 RES 1ARCH. 75504FLFBCFLFBCKapidagi Yarimadasi ve çevresindeki Adalar591396UNINA04736nam 2201309z- 450 991055711280332120210501(CKB)5400000000040918(oapen)https://directory.doabooks.org/handle/20.500.12854/69406(oapen)doab69406(EXLCZ)99540000000004091820202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRemote Sensing in Vessel Detection and NavigationBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 online resource (286 p.)3-03943-609-0 3-03943-610-4 The Special Issue entitled "Remote Sensing in Vessel Detection and Navigation" comprises 15 articles on many topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. It can be said that navigation and vessel detection remain important and hot topics, and a lot of work will continue to be done worldwide. New techniques and methods for analyzing and extracting information from navigational sensors and data have been proposed and verified. Some of these will spark further research, and some are already mature and can be considered for industrial implementation and development.Research & information: generalbicsscadaptive stochastic resonance (ASR)aircraftAISaltitudeautomatic radar plotting aidautonomous navigationautonomous underwater vehicles (AUVs)bag-of-words mechanismbathymetric measurementsbathymetrycomplex backgroundcomputer simulationconvolutional neural network (CNN)cross track error (XTE)edge detectionfalse alarmfarbon dioxide peaksfeature extractionflight campaignformationFTIRgame theoryGLMBgroup targetsHRRPhydrographic surveyimage analysisimage processinginland waterwayIridiumjet streamline enhancerloss functionmachine learningmarine systemmaritime situational awarenessmatched intrawell responsemidwave infraredmotion attitude modelmulti-Global Navigation Satellite System (GNSS) receivermulti-stage rotational detection network (MSRDN)multi-stage rotational region based network (MSR2N)multiscale and small ship detectionmultispectralnavigationneural networknonlinear filteron-boardparallaxposition estimationranging modereal-time communicationreal-time detectionremote sensingresidual structureriver monitoring systemrotated anchor generationsafe objects controlSentinel-2shipship classificationship detectionsingle shore stationsix-degrees-of-freedom motionSSLstraight-line fittingstructuresynthetic aperture radar (SAR)synthetic aperture radar (SAR) ship detectiontarget recognitiontarget trackingtemporal offsetstrajectory trackingunmanned surface vehicleUnmanned Surface Vessel (USV)velocityvessel detectionvideo monitoringvisual saliencyResearch & information: generalHeiselberg Henningedt1290168Stateczny AndrzejedtHeiselberg HenningothStateczny AndrzejothBOOK9910557112803321Remote Sensing in Vessel Detection and Navigation3021380UNINA