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The book presents a method to create a land cover map from lidar data (elevation, intensity and standard deviation of height). The intensity of the observed object depends on many factors and is therefore not easy to interpret. With careful study of the problem and implementing various improvements we managed to distinctively classify categories of grass, agricultural fields and asphalt. We used standard deviation of height to differentiate trees and buildings, because this was not possible using intensity data alone. On the basis of independent lidar data a high quality three dimensional land cover map of local area has been successfully generated. It distinguishes five basic categories, although more detailed sub-categories could be introduced if necessary. Once the methodology is determined, products can be generated fully automatically, with minimal effort and costs. The resulting maps are of very high positional and thematic accuracy with numerous advantages for local studies. Knjiga opisuje postopek izdelave karte pokrovnosti iz podatkov lidarskega snemanja, kot so višina, intenziteta in standardni odklon višine. Intenziteta opazovanega objekta je odvisna od vrste dejavnikov in zato težavna za interpretacijo. Po njeni preučitvi in nekaterih izboljšavah smo zelo dobro razločili kategorije pokrovnosti trava, njive in asfalt, za razločitev dreves in stavb pa smo morali uporabiti še standardni odklon višin. Na osnovi samostojnih lidarskih podatkov smo uspeli izdelati kakovostno karto pokrovnosti krajevnega območja, ki loči pet osnovnih kategorij, po potrebi pa jih lahko ločimo tudi več. Ko je postopek izdelave karte znan, lahko karto izdelamo povsem samodejno, z minimalnim naporom in stroški. Pri tem dobimo karto zelo dobre položajne in tematske natančnosti, s številnimi prednostmi za krajevne študije.

aerial laser scanning --- coverage --- intensity --- land cover --- lidar --- remote sensing --- Slovenia --- daljinsko zaznavanje --- intenziteta --- pokrovnost --- pokrovnost tal --- Slovenija --- zračno lasersko skeniranje

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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

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Popular culture is rife with movies, books, and television shows that address our collective curiosity about what the world was like long ago. From historical dramas to science fiction tales of time travel, audiences love stories that reimagine the world before our time. But what if there were a field that, through the advancements in technology, could bring us closer to the past than ever before? Written by a preeminent expert in geospatial archaeology, Maps for Time Travelers is a guide to how technology is revolutionizing the way archaeologists study and reconstruct humanity’s distant past. From satellite imagery to 3D modeling, today archaeologists are answering questions about human history that could previously only be imagined. As archaeologists create a better and more complete picture of the past, they sometimes find that truth is stranger than fiction.

Archaeology --- Remote sensing. --- 3d scanning. --- ancient civilizations. --- ancient cultures. --- anthropology. --- applied science. --- archaeologists. --- archaeology. --- carbon dating. --- dig site. --- digital atlas. --- digital mapping. --- drone technology. --- evolutionary history. --- geophysical diffraction. --- geospatial archaeology. --- geospatial technology. --- history. --- human history. --- laser scanning. --- lasers. --- modeling. --- nature. --- nonfiction. --- paleoindian database. --- prehistory. --- ruins. --- science. --- social science. --- stem. --- terrestrial laser.

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This guide provides an insight into a range of visualization techniques for high-resolution digital elevation models (DEMs). It is provided in the context of investigation and interpretation of various types of historical and modern, cultural and natural small-scale relief features and landscape structures. It also provides concise guidance for selecting the best techniques when looking at a specific type of landscape and/or looking for particular kinds of forms.The three main sections – descriptions of visualization techniques, guidance for selection of the techniques, and visualization tools – accompany examples of visualizations, exemplar archaeological and geomorphological case studies, a glossary of terms, and a list of references and recommendations for further reading. The structure facilitates people of different academic background and level of expertise to understand different visualizations, how to read them, how to manipulate the settings in a calculation, and choose the best suited for the purpose of the intended investigation.A smaller amount of books is also available in hardcover (ISBN 978-961-05-0011-7, 24 EUR). Monografija nudi vpogled v nabor tehnik prikaza visokoločljivih modelov višin. Napisana je v kontekstu preučevanja in interpretacije različnih tipov zgodovinskih in modernih, kulturnih in naravnih majhnih reliefnih oblik. Daje jedrnate napotke za izbiro najboljših tehnik prikaza določenih tipov pokrajine in izrazitih oblik.Tri glavna poglavja – opis tehnik prikazovanja digitalnih modelov višin, napotki za njihovo izbiro in orodja za izračun prikazov –, spremljajo izbrani primeri tipičnih arheoloških in geomorfoloških študij, slovarček pojmov ter seznam literature in priporočenega branja. Posameznikom z različnih znanstvenih področij in z različnim predznanjem o tematiki je struktura v pomoč pri razumevanju različnih tehnik prikazov, kako jih brati, kako izbrati prave nastavitve pri njihovem izračunu in kako prepoznati najbolj primerne za namen zasnovane raziskave.

case studies --- digital heights model --- geodetic measurements --- geodetic methods --- geographical typology --- landscapes --- laser scanning --- laser techniques --- lidar --- manuals --- relief forms --- remote sensing --- settings --- spatial data --- technics --- tools --- visualization --- daljinsko zaznavanje --- digitalni model višin --- geodetska merjenja --- geodetske metode --- geografska tipologija --- krajine --- laserska tehnika --- lasersko skeniranje --- nastavitve --- orodja --- priročniki --- prostorski podatki --- reliefne oblike --- študije primerov --- tehnika --- vizualizacija

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Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has expanded their application fields from the civil engineering to a broader range (industry, emergency response, cultural heritage...), which is constantly widening. This increased number of needs, some of them specially challenging, is pushing the Scientific Community, as well as companies, towards the development of innovative solutions, ranging from new hardware / open source software approaches and integration with other devices, up to the adoption of artificial intelligence methods for the automatic extraction of salient features and quality assessment for performance verification The aim of the present book is to cover the most relevant topics and trends in Mobile Mapping Technology, and also to introduce the new tendencies of this new paradigm of geospatial science.

LRF --- smartphone --- unmanned vehicle --- sensor fusion --- 2D laser scanner --- semantic enrichment --- Vitis vinifera --- indoor scenes --- terrestrial laser scanning --- vine size --- quadric fitting --- multi-group-step L-M optimization --- grammar --- MLS --- indoor topological localization --- trajectory fusion --- second order hidden Markov model --- room type tagging --- fingerprinting --- restoration --- laser scanning --- map management --- Lidar localization system --- point clouds --- binary vocabulary --- self-calibration --- 3D processing --- cultural heritage --- encoder --- category matching --- indoor mapping --- convolutional neural network (CNN) --- tunnel cross section --- visual positioning --- enhanced RANSAC --- segmentation-based feature extraction --- image retrieval --- handheld --- crowdsourcing trajectory --- visual landmark sequence --- indoor localization --- mobile mapping --- rapid relocation --- sensors configurations --- precision agriculture --- 3D digitalization --- mobile laser scanning --- robust statistical analysis --- plant vigor --- motion estimation --- visual simultaneous localization and mapping --- dynamic environment --- Bayesian inference --- automated database construction --- portable mobile mapping system --- SLAM --- small-scale vocabulary --- ORB-SLAM2 --- LiDAR --- IMMS --- point cloud --- optical sensors --- tunnel central axis --- constrained nonlinear least-squares problem --- 3D point clouds --- wearable mobile laser system --- geometric features --- 2D laser range-finder --- RGB-D camera --- OctoMap