Listing 1 - 3 of 3 |
Sort by
|
Choose an application
Combining Terrestrial Reference Frames (TRFs) to frames of superior quality (like the ITRF) usually involves homogenisation by an empirical weighting scheme. Different approaches on variance component estimation have been evaluated for this purpose. The statistically rigorous Helmert estimator has been compared with two other methods: the degree of freedom method and a simplified, approximate estimator. Tests have been performed, covering two elementary types of combinations.
Reference Systems --- VLBI --- Geodesy --- SLR --- GPS --- Least Squares Adjustment --- Variance Component Estimation --- ITRF
Choose an application
Mobile mapping is applied widely in society, for example, in asset management, fleet management, construction planning, road safety, and maintenance optimization. Yet, further advances in these technologies are called for. Advances can be radical, such as changes to the prevailing paradigms in mobile mapping, or incremental, such as the state-of-the-art mobile mapping methods. With current multi-sensor systems in mobile mapping, laser-scanned data are often registered in point clouds with the aid of global navigation satellite system (GNSS) positioning or simultaneous localization and mapping (SLAM) techniques and then labeled and colored with the aid of machine learning methods and digital camera data. These multi-sensor platforms are beginning to undergo further advancements via the addition of multi-spectral and other sensors and via the development of machine learning techniques used in processing this multi-modal data. Embedded systems and minimalistic system designs are also attracting attention, from both academic and commercial perspectives.This book contains the accepted publications of the Special Issue 'Advances in Mobile Mapping Technologies' of the Remote Sensing journal. It consists of works introducing a new mobile mapping dataset (‘Paris CARLA 3D’), system calibration studies, SLAM topics, and multiple deep learning works for asset detection. We, the Guest Editors, Ville Lehtola from University of Twente, Netherlands, Andreas Nüchter from University of Würzburg, Germany, and François Goulette from Mines Paris- PSL University, France, wish to thank all the authors who contributed to this collection.
LiDAR --- RetinaNet --- inception --- Mobile Laser Scanning --- point clouds --- data fusion --- Lidar --- point cloud density --- point cloud coverage --- mobile mapping systems --- 3D simulation --- Pandar64 --- Ouster OS-1-64 --- mobile laser scanning --- lever arm --- boresight angles --- plane-based calibration field --- configuration analysis --- accuracy --- controllability --- evaluation --- control points --- TLS reference point clouds --- visual–inertial odometry --- Helmert variance component estimation --- line feature matching method --- correlation coefficient --- point and line features --- mobile mapping --- manhole cover --- point cloud --- F-CNN --- transfer learning --- CAM localization --- loop closure detection --- visual SLAM --- semantic topology graph --- graph matching --- CNN features --- deep learning --- view planning --- imaging network design --- building 3D modelling --- path planning --- V-SLAM --- real-time --- guidance --- embedded-systems --- 3D surveying --- exposure control --- photogrammetry --- parking statistics --- vehicle detection --- robot operating system --- 3D camera --- RGB-D --- performance evaluation --- convolutional neural networks --- smart city --- georeferencing --- MSS --- IEKF --- DSIEKF --- geometrical constraints --- 6-DoF --- DTM --- 3D city model --- dataset --- laser scanning --- 3D mapping --- synthetic --- outdoor --- semantic --- scene completion
Choose an application
Forest tree improvement has mainly been implemented to enhance the productivity of artificial forests. However, given the drastically changing global environment, improvement of various traits related to environmental adaptability is more essential than ever. This book focuses on genetic information, including trait heritability and the physiological mechanisms thereof, which facilitate tree improvement. Nineteen papers are included, reporting genetic approaches to improving various species, including conifers, broad-leaf trees, and bamboo. All of the papers in this book provide cutting-edge genetic information on tree genetics and suggest research directions for future tree improvement.
early selection --- stomatal characteristics --- water stress --- water relations --- specific leaf area --- Eucalyptus clones --- LTR-retrotransposon --- Ty3-gypsy --- Ty1-copia --- IRAP --- molecular markers --- bamboo --- Phyllostachys --- genetic diversity --- populations structure --- AMOVA --- central-marginal hypothesis --- cline --- Pinaceae --- trailing edge population --- Sakhalin fir --- sub-boreal forest --- gibberellin --- male strobilus induction --- transcriptome --- conifer --- Cryptomeria japonica --- linkage map --- male sterility --- marker-assisted selection --- C. fortunei --- differentially expressed genes --- phenylpropanoid metabolism --- candidate genes --- Camellia oleifera --- leaf senescence --- transcriptome analysis --- senescence-associated genes --- physiological characterization --- cpDNA --- next generation sequencing --- northern limit --- nucleotide diversity --- phylogeny --- In/Del --- SNP --- SSR --- Chinese fir --- heartwood --- secondary metabolites --- widely targeted metabolomics --- flavonoids --- amplicon sequencing --- AmpliSeq --- genomic selection --- Japanese cedar (Cryptomeria japonica) --- multiplexed SNP genotyping --- spatial autocorrelation error --- pine wood disease --- resistance to pine wood nematode --- inoculation test --- multisite --- cumulative temperature --- Pinus thunbergii --- Thujopsis dolabrata --- EST-SSR markers --- varieties --- population structure --- pine wilt disease --- Bursaphelenchus xylophilus --- genotype by environment interaction --- Japanese black pine --- variance component --- local adaptation --- silviculture --- seed zone --- tree improvement program --- breeding --- genotype × environment interaction --- mast seeding --- seed production --- thinning --- forest tree breeding --- high-throughput phenotyping --- epigenetics --- genotyping --- genomic prediction models --- quantitative trait locus --- breeding cycle --- Cryptomeria japonica var. sinensis --- demographic history --- RAD-seq --- ancient tree --- conservation --- infrared thermography --- chlorophyll fluorescence --- cumulative drought stress --- genetic conservation --- genetic management --- pine wood nematode --- pine wood nematode-Pinus thunbergii resistant trees --- n/a
Listing 1 - 3 of 3 |
Sort by
|