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Isprs Journal Of Photogrammetry And Remote Sensing Pdf

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Large-scale transport of PM2. The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office. Skip to main Skip to footer.

ISPRS Journal of Photogrammetry and Remote Sensing

Large-scale transport of PM2. The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office.

Skip to main Skip to footer. Geospatial Sensing and Data Intelligence Lab. U-Net based road area guidance for crosswalks detection from remote sensing images, Canadian Journal of Remote Sensing, doi: OA-CapsNet: A one-stage anchor-free capsule network for geospatial object detection from remote sensing imagery, Canadian Journal of Remote Sensing, doi Spatial resolution enhancement for large-scale land cover mapping via weakly supervised deep learning, Photogrammetric Engineering and Remote Sensing, in press.

Mapping utility poles in aerial orthoimages using ATSS deep learning method , Sensors, 20, ; doi Building extraction from airborne multispectral LiDAR point clouds based on graph geometric moments convolutional neural network , Remote Sensing, 12, ; doi A random forest ranking approach to predict yield in maize with UAV-based vegetation spectral indices , Computers and Electronics in Agriculture, , , doi Estimation of phytoplankton chlorophyll-a concentrations in the western basin of Lake Erie using Sentinel-2 and Sentinel-3 data , Canadian Journal of Remote Sensing, doi Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China , Atmospheric Environment, , Review: Deep learning on 3D point clouds , Remote Sensing, 12, ; doi A machine learning framework to predict nutrient content in citrus-leaves hyperspectral measurements , Remote Sensing, 12 6 , , doi Pairwise registration of TLS point clouds by deep multi-scale local features , Neurocomputing , , Coarse-to-fine road extraction based on local Dirichlet mixture models and multiscale-high-order deep learning , IEEE Transactions on Intelligent Transportation System s, doi Modeling hyperspectral response of water-stress induced lettuce plants using artificial neural networks , Remote Sensing, 11, , doi Quantifying PM2.

Estimating pasture biomass and canopy height in Brazilian savanna using UAV photogrammetry , Remote Sensing , 11, ; doi Ship detection using a fully convolutional network with compact polarimetric SAR images , Remote Sensing , 11, , doi Characterization of combined effects of urban built-up and vegetated areas on long-term urban heat islands in Beijing , Canadian Journal of Remote Sensing, DOI DOI: Understanding urban structures and crowd dynamics leveraging large-scale vehicle mobility data , Frontiers of Computer Science, DOI Topology-aware road network extraction via multi-supervised generative adversarial networks , Remote Sensing , 11, ; doi A hybrid model for forecasting traffic flow: using layerwise structure and Markov transition matrix , IEEE Access , 7, Accelerated stochastic gradient descent with step size selection rules , Signal Processing , , — Learning high-level features by fusing multi-view representation of MLS point clouds for 3D object recognition in road environme nt.

A deep learning framework for road marking extraction, classification and completion from mobile laser scanning point clouds , ISPRS Journal of Photogrammetry and Remote Sensing , , Mobile laser scanned point-clouds for road object detection and extraction: A review , Remote Sensing , 10 10 , ; doi: Chen X, Li J , Mini-batch algorithms with Barzilai-Borwein update step , Neurocomputing , , Nguyen, Robust procedural model fitting with a new geometric similarity estimator , Pattern Recognition , doi Estimating road widths from remote sensing images , Remote Sensing Letters , 9 9 , Pirsateh S, Li J , Random Barzilai—Borwein step size for mini-batch algorithms , Engineering Applications of Artificial Intelligence , 72, — Remote Sensing.

Spectral-spatial residual networks for hyperspectral image classification: a 3D deep learning framework , IEEE Transactions on Geoscience and Remote Sensing , 56 2 : Characteristics of surface urban heat island in the greater Toronto area based on thermal infrared remote sensing , Remote Sensing Letters , DOI Rapid localization and extraction of street light poles in mobile LiDAR point clouds: a supervoxels-based approach.

Bag-of-contextual-visual-words for road scene object detection from mobile laser scanning data. Landslides investigations from geoinformatics perspective: quality, challenges, and recommendations , Geomatics, Natural Hazards and Risk , doi: Comparison on structured and weighted total least squares adjustment methods for linearly structured errors-in-variables models.

Spatio-temporal patterns of satellite-derived grassland vegetation phenology from to in Inner Mongolia, China. Journal of Arid Land , doi: GiT-based structural geologic feature analysis of the southern segment of Longmenshan Fault Zone for earthquake evidence. Pole-like road object detection in mobile LiDAR data via supervoxel and bag-of-contextual-visual-words representation.

Local quality assessment of point clouds for indoor mobile mapping. Neurocomputing Elsevier: SC. Automated detection of three-dimensional cars in mobile laser scanning point clouds using DBM-Hough-Forests. Vehicle detection from highway satellite images via transfer learning , Information Sciences , doi Road network extraction via aperiodic directional structure measurement.

Vehicle detection in high-resolution aerial images via sparse representation and superpixels , IEEE Transactions on Geoscience and Remote Sensing , Developing an algorithm for local anomaly detection based on spectral space window in hyperspectral image , Earth Science Informatics , DOI: Combinative hypergraph learning for semi-supervised image classification , Neurocomputing , , Elsevier: SCI. Li J , Yang X eds , Yan H, Li J , An approach to computing direction relations between separated object groups , Geoscientific Model Development Discussions , 6, Multi-view hypergraph learning by patch alignment framework , Neurocomputing , Elsevier: SCI.

Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data , International Journal of Applied Observation and Geoinformation , Elsevier: SCI. A method for rapid transmission of multi-scale vector river data via the Internet , Journal of Geodesy and Geodynamics , 3 2 : Science Press: EI. Estimating regional heavy metal concentrations in rice by scaling field-scale heavy metal assessment model , International Journal of Applied Earth Observation and Geoinformation , Elsevier: SCI.

King B, Li J , Yang X, Li J eds , Kwon T, Li J , Mapping marine oil spills from space, In: Yang, X. Path-finding through flexible hierarchical road networks: An experiential approach using taxi trajectory data , International Journal of Applied Earth Observation and Geoinformation , 13 1 : Elsevier: SCI. Surface deformation associated with the Ms8. Elsevier: SCI. Advances in Earth Observation of Global Change.

Automatic registration of terrestrial laser scanning point clouds using panoramic reflectance images. Sensors , 9 4 Semi-automatic extraction of 3D lines using a scalable edge model and least-squares template matching , Geomatica, 62 3 : CIG: EI. A robust biased estimator for exterior orientation of linear pushbroom satellite imagery, Geomatica , 62 1 : ISBN, pp. Li J and Chapman MA, Terrestrial mobile mapping systems towards real-time geospatial data collection.

Zlatanova S, Li J , A self-adaptive motion estimation algorithm for superresolution reconstruction of multiframe SPOT panchromatic images , Canadian Journal of Remote Sensing , 33 6 : Li J , Huang B, Modeling the effects of elevation data resolution on the performance of topography-based watershed runoff simulation.

Environmental Modelling and Software , 22 9 : Tao CV, Li J eds , A fuzzy relational road extraction method for supporting effective evacuation planning. Lecture Notes in Geoinformation and Cartography, Vol. Automatic generation of remote sensing image mosaicks for mapping large natural hazards areas. Semiautomated extraction of urban highway intersections from satellite imagery. Tao CV, Li J , Foreword: Advances in mobile mapping technology. Deriving vegetation structure in ecological applications from airborne LiDAR data.

Li J , Chapman MA, High-resolution satellite image sources for disaster management in urban areas. Automatically extracting manmade objects from pan-sharpened high-resolution satellite imagery using a fuzzy segmentation method. Effect of digital elevation model resolution on empirical estimation of soil loss and sediment transport with GIS, International Journal of Sediment Research , 19 1 Remote sensing of urban areas, Geomatica , 58 1 : Kinematic GPS positioning with orbit improvement.

Outstanding reviewer for ISPRS Journal of Photogrammetry and Remote Sensing

Weber M, Doblander C. Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, , doi: Krzystek, P. Briechle, S. Auch M. Single tree segmentation in highly dense lidar point clouds by combining Min-Max graph-cut clustering with object-based stem detection.

ISPRS Journal of Photogrammetry and Remote Sensing — Template for authors

Before submission check for plagiarism via Turnitin. Typeset is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years. Guideline source: View.

Within the thematic area of Databases and Modelling a certain focus is placed on the effective acquisition and management of geo-data and the derivation of standardized products from this data, e. In most cases, in-situ data collection e. As there is a growing demand for area-wide data collection, the utilization of remote sensing technology will gain ground in the future.

VU Journal Publishing Guide

The system can't perform the operation now. Try again later. Citations per year. Duplicate citations. The following articles are merged in Scholar. Their combined citations are counted only for the first article.

Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. The Journal provides a channel of communication for scientists and professionals in all countries working in the many disciplines that


The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) is the official journal of the International Society for Photogrammetry and Remote.


Laser scanning - a paradigm change in topographic data acquisition for natural hazard management

ISPRS News

It was also decided to postpone the General Assembly and the hand-over of all officer positions until June , and to shift the ISPRS meeting cycle by two years. This means that the next Symposia are now planned to take place in , and the Congress following the one in will be organised in A rationale for these decision can also be found here. We would like to thank you all for what you have done for ISPRS during the current term, and we hope to meet you in person in Nice in summer The Special Issue wants to raise awareness and understanding of AI methods applied to large geospatial data and to collect ongoing research activities, best practices and applications showing innovative uses of AI within the context of NMCAs.

Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. The Journal provides a channel of communication for scientists and professionals in all countries working in the many disciplines that

A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies. Skip to Main Content. Skip to Search Box.

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Once production of your article has started, you can track the status of your article via Track Your Accepted Article.

2 Comments

Ralf F. 14.05.2021 at 09:03

Campos, M.

Orville P. 14.05.2021 at 23:58

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