Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Coastal areas are remarkable regions with high spatiotemporal variability. A large population is affected by their physical and biological processes—resulting from effects on tourism to biodiversity and productivity. Coastal ecosystems perform several critical ecosystem services and functions, such as water oxygenation and nutrients provision, seafloor and beach stabilization (as sediment is controlled and trapped within the rhizomes of the seagrass meadows), carbon burial, as areas for nursery, and as refuge for several commercial and endemic species. Knowledge of the spatial distribution of marine habitats is prerequisite information for the conservation and sustainable use of marine resources. Remote sensing from UAVs to spaceborne sensors is offering a unique opportunity to measure, analyze, quantify, map, and explore the processes on the coastal areas at high temporal frequencies. This Special Issue on “Application of Remote Sensing in Coastal Areas” is specifically addresses those successful applications—from local to regional scale—in coastal environments related to ecosystem productivity, biodiversity, sea level rise.

Research & information: general --- Geography --- satellite remote sensing --- Landsat --- coastline --- barrier island --- morphological change --- coastal ocean --- Photon-counting lidar --- MABEL --- land cover --- remote sensing --- signal photons --- ground settlement --- marine reclamation land --- time series InSAR --- Sentinel-1 --- Xiamen New Airport --- Pleiades --- photogrammetry --- LiDAR --- RTK-GPS --- beach topography --- cliff coastlines --- time-series analysis --- terrestrial laser scanner --- southern Baltic Sea --- non-parametric Bayesian network --- satellite-derived bathymetry --- hydrography --- CubeSats --- hypertemporal --- zones of confidence --- PlanetScope --- vegetation mapping --- dunes --- unmanned aerial system --- pixel-based classification --- object-based classification --- dune vegetation classification --- coastal monitoring --- multispectral satellite images --- multi-temporal NDVI --- pixels based supervised classification --- Random Forest --- harmonization --- shoreline mapping --- semi-global subpixel localization --- intensity integral error --- polarimetric SAR --- polarimetric decomposition --- ship detection --- Euclidean distance --- mutual information --- new feature --- Bohai sea ice --- sea ice extent --- OLCI imagery --- sea ice information index --- waterline extraction --- sub-pixel --- surface water mapping --- data cube --- contour extraction --- water extraction --- water indices --- thresholding --- Coastal process --- wind wake --- heat advection --- multi-sensor --- ASAR --- oceanic thermal response --- Hainan Island --- coastal remote sensing --- habitat mapping --- unmanned aerial vehicle (UAV) --- unmanned aircraft system (UAS) --- drone --- object-based image analysis (OBIA) --- UAS data acquisition

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book comprises research articles contributed to the Special Issue on “ERP and EEG Markers of Brain Visual Attentional Processing” of the Brain Sciences journal by a panel of authoritative international cognitive neuroscientists and electrophysiologists. All articles present state-of-the-art knowledge on the relationships between visuospatial attentional processing and the brain in humans as investigated by means of EEG and ERPs from the perspective of cognitive neuroscience. All the articles compare overt behavioral data obtained in universally renowned visual selective attention protocols with the electrophysiological data obtained in these same protocols aimed at investigating different facets of visuospatial attentional processing. The research presented is interdisciplinary, ranging across visual selective processing mechanisms in health, the effects of psychological attentional dysfunctions and brain damage, and functional imaging of the human brain. The Preface of the book provides an overall theoretical introduction to the field and to the contents of each of the remaining articles. In this introductory Editorial, a framework is presented in which to consider EEG and ERPs as research tools able to contribute to both cognitive and brain sciences, putting together new knowledge about humans as integrated sociobiological individuals. This book may provide a useful starting point and reference for researchers and students of cognitive neuroscience, psychology, philosophy, or cognitive science who have an interest in mind and brain visual attentional processing.

Psychology --- selective attention --- mental ability --- P3 latency --- continuous performance test --- mental speed --- EEG --- alpha --- xi --- Posner --- covert attention --- object-based attention --- hemispheric asymmetry --- ERP --- selection negativity --- swLORETA --- anterior cingulate cortex --- visual recognition --- mTBI --- event-related potentials --- visual–attentional processing --- brain connectivity --- neuropsychological measures --- postconcussion symptoms --- rsvp --- lure stimuli --- priming --- ERPs --- N2pc --- perception --- video --- visual motion --- speed --- cortex --- rhythm --- entrainment --- working-memory training --- cognitive remediation --- P1 --- P3b --- N500 --- late posterior negative slow wave --- late parietal negativity --- ADHD --- performance monitoring --- error processing --- visual sustained selective attention --- voluntary control --- self-regulation --- executive functions --- preschool children --- ACT–R --- Dipole analysis --- spiking simulation --- FFT --- alpha desynchronization --- attention orienting --- alerting --- attention inhibition --- neurocognitive perceptual and motor workload --- hypoxia --- overt motor responses --- hemispheric lateralization --- category learning --- eeg --- machine learning --- erp --- memory --- learning --- multiple memory systems --- p300 --- brain visual attentional processing --- neural markers --- intracerebral single and distributed electric source localization analyses --- hemodynamic imaging --- psychological sciences --- cognitive neurosciences

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Unmanned aerial vehicles (UAVs) are new platforms that have been increasingly used in the last few years for forestry applications that benefit from the added value of flexibility, low cost, reliability, autonomy, and capability of timely provision of high-resolution data. The main adopted image-based technologies are RGB, multispectral, and thermal infrared. LiDAR sensors are becoming commonly used to improve the estimation of relevant plant traits. In comparison with other permanent ecosystems, forests are particularly affected by climatic changes due to the longevity of the trees, and the primary objective is the conservation and protection of forests. Nevertheless, forestry and agriculture involve the cultivation of renewable raw materials, with the difference that forestry is less tied to economic aspects and this is reflected by the delay in using new monitoring technologies. The main forestry applications are aimed toward inventory of resources, map diseases, species classification, fire monitoring, and spatial gap estimation. This Special Issue focuses on new technologies (UAV and sensors) and innovative data elaboration methodologies (object recognition and machine vision) for applications in forestry.

unmanned aerial vehicles --- seedling detection --- forest regeneration --- reforestation --- establishment survey --- machine learning --- multispectral classification --- UAV photogrammetry --- forest modeling --- ancient trees measurement --- tree age prediction --- Mauritia flexuosa --- semantic segmentation --- end-to-end learning --- convolutional neural network --- forest inventory --- Unmanned Aerial Systems (UAS) --- structure from motion (SfM) --- Unmanned Aerial Vehicles (UAV) --- Photogrammetry --- Thematic Mapping --- Accuracy Assessment --- Reference Data --- Forest Sampling --- Remote Sensing --- Robinia pseudoacacia L. --- reproduction --- spreading --- short rotation coppice --- unmanned aerial system (UAS) --- object-based image analysis (OBIA) --- convolutional neural network (CNN) --- juniper woodlands --- ecohydrology --- remote sensing --- unmanned aerial systems --- central Oregon --- rangelands --- seedling stand inventorying --- photogrammetric point clouds --- hyperspectral imagery --- leaf-off --- leaf-on --- UAV --- multispectral image --- forest fire --- burn severity --- classification --- precision agriculture --- biomass evaluation --- image processing --- Castanea sativa --- unmanned aerial vehicles (UAV) --- precision forestry --- forestry applications --- RGB imagery