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dc.contributor.editorKaniewski, Piotr
dc.contributor.editorPasternak, Mateusz
dc.contributor.editorMattoccia, Stefano
dc.date.accessioned2023-04-05T13:01:32Z
dc.date.available2023-04-05T13:01:32Z
dc.date.issued2023
dc.identifierONIX_20230405_9783036567983_248
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/98969
dc.description.abstractRemote sensing is developing rapidly due to progress in many interconnected fields. It includes the emergence of new sensors, development of sophisticated platforms for those sensors, and advances in signal and data processing. The progress in the fields of radar, optoelectronic, acoustic, magnetic, chemical, and other sensors is stunning. Whereas the mentioned sensors are currently more sensitive and accurate, have improved resolutions, data rates, and dynamical ranges, they still have their limitations. The utilization of multi-sensor systems and joint processing of their signals or data has long been considered an effective solution for reducing the disadvantages and best utilizing their strengths. The emergence of new types of sensors creates an opportunity for scientists and engineers to develop new and more capable integrated multi-sensor systems. It is necessary to mention that the users’ expectations with respect to the size of the observed area or volume, data resolution, accuracy, speed of operation, and functionality of remote sensing systems are still increasing. Extended frequency bands, improved resolutions, and data rates of the new sensors as well as the common use of distributed sensors increase the influx of data in contemporary multi-sensor systems. These facts pose new challenges for the data fusion algorithms that must often employ the newest achievements from the areas of big data mining, statistical estimation, artificial intelligence, etc. This reprint provides a fresh insight into the newest developments in the fields of multi-sensor systems and data fusion.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technologyen_US
dc.subject.otherpansharpening
dc.subject.othercomponent substitution
dc.subject.othermultiresolution analysis
dc.subject.otherneural networks
dc.subject.otheradaptive weight
dc.subject.otherimage registration
dc.subject.othernonlinear radiation distortions
dc.subject.otherphase congruency
dc.subject.othermultimodal remote sensing image
dc.subject.otheroptical and synthetic aperture radar (SAR)
dc.subject.otherphase congruency (PC)
dc.subject.otherradiometric difference
dc.subject.otherINS
dc.subject.otherGPS
dc.subject.otherUAV
dc.subject.otherSAR
dc.subject.otherinformation quality
dc.subject.otherweather station
dc.subject.othersensors
dc.subject.othermodelling
dc.subject.otherexplosive devices
dc.subject.otherhyperspectral data
dc.subject.othersimulation
dc.subject.otherSpectral Angle Mapping
dc.subject.otherduration calculus
dc.subject.otherdata models
dc.subject.othertemporal logic
dc.subject.othertemporal series
dc.subject.otherdata fusion
dc.subject.otherdata evaluation
dc.subject.othermultisensor data
dc.subject.othersignal and data processing
dc.subject.otherinterval logic
dc.subject.otherclassification
dc.subject.otherCORINE
dc.subject.otherfeature selection
dc.subject.otherLUCAS
dc.subject.otherMDA
dc.subject.otherrandom forest
dc.subject.othersentinel
dc.subject.otherinfrared and visible image object detection
dc.subject.otherconvolutional neural network
dc.subject.otherdifference maximum loss function
dc.subject.otherfocused feature enhancement module
dc.subject.othercascaded semantic extension module
dc.subject.otherSLAM
dc.subject.otherautonomous navigation
dc.subject.otherparticle filter
dc.subject.othermonocular camera
dc.subject.otherIMU
dc.subject.othermapping
dc.subject.otherpath planning
dc.subject.otherhexagonal grid
dc.titleMulti-Sensor Systems and Data Fusion in Remote Sensing
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-6799-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036567983
oapen.relation.isbn9783036567990
oapen.pages264
oapen.place.publicationBasel


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