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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
基本信息
期刊名称 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISPRS J PHOTOGRAMM
期刊ISSN 0924-2716
期刊官方网站 http://www.journals.elsevier.com/isprs-journal-of-photogrammetry-and-remote-sensing/
是否OA
出版商 Elsevier
出版周期 Quarterly
始发年份 1989
年文章数 255
最新影响因子 7.319(2019)  scijournal影响因子  greensci影响因子
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术1区 GEOGRAPHY, PHYSICAL 自然地理1区
GEOSCIENCES, MULTIDISCIPLINARY 地球科学综合1区
IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY 成像科学与照相技术1区
REMOTE SENSING 遥感1区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 8.64 2.979 2.862
Earth and Planetary Sciences
Computers in Earth Sciences
2 / 34 95%
Engineering
Engineering (miscellaneous)
3 / 51 95%
Physics and Astronomy
Atomic and Molecular Physics, and Optics
7 / 173 96%
Computer Science
Computer Science Applications
14 / 569 97%
补充信息
自引率 12.60%
H-index 110
SCI收录状况 Science Citation Index Expanded
官方审稿时间
网友分享审稿时间 数据统计中,敬请期待。
PubMed Central (PML) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0924-2716%5BISSN%5D
投稿指南
期刊投稿网址 https://www.evise.com/evise/faces/pages/login/login.jspx?resourceUrl=%2Ffaces%2Fpages%2Fnavigation%2FNavController.jspx%3FJRNL_ACR%3DPHOTO%26
收稿范围

The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) is the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). The Journal provides a channel of communication for scientists and professionals in all countries working in the many disciplines that employ photogrammetryremote sensingspatial information systemscomputer vision, and related fields. The Journal is designed to serve as a source reference and archive of advancements in these disciplines.

The P&RS objective is to publish high quality, peer-reviewed, preferably previously unpublished papers of a scientific/research, technological development or application/practical nature. P&RS will publish papers, including those based on ISPRS meeting presentations*, which are regarded as significant contributions in the above-mentioned fields. We especially encourage papers: of broad scientific interest; on innovative applications, particularly in new fields; of an interdisciplinary nature; on topics that have not been dealt with (or to a small degree) by P&RS or related journals; and on topics related to new possible scientific/professional directions. Preferably, theoretical papers should include applications, and papers dealing with systems and applications should include theoretical background.

The scope of the journal is extensive and covers sensors, theory and algorithms, systems, experiments, developments and applications. Topics of interest include but are not limited to:

Sensors

• Airborne and spaceborne multispectral and hyperspectral imaging systems
• Airborne and terrestrial cameras
• Airborne, terrestrial and mobile laser scanning
• Range imaging
• Active and passive imaging sensor characterisation
• Sensor calibration and standardisation
• Geosensor networks
• Internet of Things

Methods and procedures

• Spatial data handling technologies
• Integrated sensor calibration and orientation
• Surface and object reconstruction, modelling and interpretation
• GIS data modelling, representation and structures
• Database systems
• Mapping from imagery
• Visualisation, animation and virtual reality
• Physical measurements and spectral signatures
• Point cloud processing
• Extraction of geometric and semantic information from SAR
• SAR Interferometry
• Image classification algorithms
• Image segmentation and GEOBIA
• Image time series analysis
• Hyperspectral data analysis
• Big image data analysis
• Crowd sourcing
• Feature extraction

Applications and products

• 3D urban GIS
• Close-range imaging and metrology
• Architectural & archaeological photogrammetry
• Determination of forest metrics
• Medical image analysis and biometry
• Resource and environmental modelling
• Global monitoring and assessment
• Thematic applications
• DTM and orthoimage generation
• Location based services

Submitted articles may be:

• Papers (detailed discussions involving new research, technological developments or applications);
• Review Papers (extensive state-of-the-art surveys of established or emerging topics or application areas); or
• Contributions for special Journal columns (letters to the Editor about the journal or to authors commenting on previously published papers; new useful ideas and brief pertinent comments of a technical nature; editorials, mainly after an invitation by the Editorial Advisory Board).

NOTE: All articles, except correspondence, will be peer-reviewed and should be of high scientific level.

* Journal paper submissions based on past conference publications are only allowed if the submitted manuscript is significantly extended or otherwise enhanced. That is, the journal article will only be considered if more extensive experiments and discussion are presented (even if the same methods are used) and/or the methods have been significantly improved and/or advanced (even if the same datasets have been used). The burden of explicitly describing the differences between these publications rests with the author(s). In case of a strong overlap with another publication, the manuscript should be rejected.

P&RS issues may be devoted to specific scientific topics of high or increasing importance (Theme Issues), especially in relation to one or more ISPRS Working Groups, as well as to special events, geographic regions, professional activities etc. The number and topics of Theme Issues will be such that the P&RS still remains of interest to the majority of its subscribers.

收录体裁
Papers, Review Papers, Contributions for special Journal columns
投稿指南
投稿模板
参考文献格式
编辑信息
Editor-in-Chief
D. Lichti
University of Calgary, Alberta, Canada  Laser scanning, photogrammetry, range imaging, sensor modelling and calibration, point cloud processing
Indiana State University, Terre Haute, Indiana, USA  Remote sensing, imaging science, GIS, urban ecological and environmental systems, land-use and land-cover changes, environmental modeling
Associate Editors

G. Chen

University of North Carolina at Charlotte, Charlotte, North Carolina, USA Geographic object-based image analysis, LiDAR, Hyperspectral imaging, Forest environmental management, Human-environment interaction
Centre Tecnologic Telecomunicacions Catalunya, Catalunya, Spain Radar; SAR; Ground-based radar; Remote sensing; Terrestrial laser scanning; Deformation monitoring
National Institute for Space Research, Sao Jose dos Campos, Brazil

M. Gerke

Technische Universität Braunschweig, Braunschweig, Germany Image orientation, Semantic scene analysis, Unmanned aerial vehicles, Oblique airborne Photogrammetry, Damage mapping
Finnish Geospatial Research Institute - FGI, Masala, Finland

D. Laefer

New York University, New York, New York, USA Urban sensing; Laser scanning; Full waveform laser scanning; Data fusion; 3D urban modeling; Point cloud processing, Photogrammetry; Indexing; Spatial databases

R.C. Lindenbergh

Delft University of Technology, Delft, Netherlands Laser scanning, Spatial point clouds, Interpolation techniques, ICESat, Geometry extraction
Institut National de l’Information Géographique et Forestière (IGN), Saint-Mande, FranceClassification; Segmentation; Point cloud processing; Land-cover mapping; Very High Resolution; LiDAR

B. Matsushita

University of Tsukuba, Tsukuba, Ibaraki, Japan Geosciences, Water environment, Case-2 waters, Impervious surface area, Watershed, Algorithm
Missouri State University, Springfield, Missouri, USA
University of Georgia, Athens, Georgia, USA Water quality; Wetlands biophysical characteristics, including gross primary productivity; Carbon sequestration potential; Application of big data in environmental informatics; Cyber-physical systems research
State University of New York (SUNY), Syracuse, New York, USA

O. Mutanga

University of KwaZulu-Natal (UKZN), Berea, South Africa

V. Sagan

Saint Louis University, Saint Louis, Missouri, USA

M. Scaioni

Politecnico di Milano, Milan, Italy
Eidgenössische Technische Hochschule (ETH) Zürich, Zurich, Switzerland
Wageningen Universiteit, Wageningen, Netherlands
Editorial Advisory Board

E.M. Abdel-Rahman

International Center for Insect Physiology and Ecology (ICIPE), Nairobi, KenyaAgriculture, Machine learning, Multispectral, Hyperspectral, Classification, Prediction

D. Akça

ISIK University, Istanbul, Turkey Photogrammetry, Laser scanning, Camera calibration, 3D modelling.
Edge Hill University, Ormskirk, UK

K.-H. Bae

Fugro Spatial Solutions, West Perth, Western Australia, Australia Laser Scanning, Photogrammetry, 3D point clouds, Registration, 3D uncertainty and deformation analysis

M. Belgiu

University of Twente, Enschede, Netherlands

A. Bhardwaj

Luleå University of Technology, Luleå, Sweden

L. Bian

University at Buffalo, Buffalo, New York, USA GIScience, Public health, Network analysis, Image retrieval
Universität Salzburg, Salzburg, Austria GIS-remote sensing integration, Object Based Image Analysis, Collective Sensing, Urban Sensing, Environmental Applications, Quality of Life

M. Bouziani

Insitut Agranomique et Vétérinaire (IAV) Hassan II, Rabat, Morocco Image processing, Change detection, Urban environment, Machine learning, Global navigation satellite systems (GNSS)

C. Brenner

Leibniz Universität Hannover, Hannover, Germany LiDAR, Mobile mapping, Segmentation, Object reconstruction, Scene interpretation

J. Chen

National Geomatics Center of China (NGCC), Beijing, China

C.S. Fraser

University of Melbourne, Victoria, Australia Close-range photogrammetry, Vision metrology, Automation in orientation and scene reconstruction, Metric aspects of high-resolution satellite imagery, Analytics of photogrammetry

P. Gamba

Università degli Studi di Pavia, Pavia, Italy Hyperspectral data processing, Data fusion, Urban remote sensing

C. Glennie

University of Houston, Houston, Texas, USA
Universität Stuttgart, Stuttgart, Germany

J. Han

Northwestern Polytechnical University, Xi'an, China Remote sensing image analysis; Computer vision; Machine learning; Feature extraction

Y. He

University of Toronto Mississauga, Mississauga, Ontario, Canada Remote sensing techniques, Spatial analysis, Climate data, Ecosystem modelling

O. Hellwich

Technische Universität Berlin (TUB), Berlin, Germany

S. Hinz

Karlsruhe Institute of Technology (KIT)

M. Hollaus

Technische Universität Wien, Vienna, Austria

J. Im

Ulsan National Institute of Science and Technology (UNIST), Ulsan, The Republic of Korea

K. Jacobsen

Leibniz Universität Hannover, Hannover, Germany Numerical photogrammetry, Orientation and geometry of aerial and space images, Generation and analysis of digital elevation models,Mapping from space

I. Korpela

University of Helsinki, Helsinki, Finland

N. Koutsias

University of Patras, Agrinio, Greece Remote sensing of wildland fires, Burned land mapping, Change detection, Multivariate data analysis, Spatial statistics, Land use/land cover
University of New England (AUS), Armidale, New South Wales, Australia

P. Li

Peking University, Beijing, China

S. Li

Ryerson University, Toronto, Ontario, Canada GIS, GeoCollaboration, GeoWeb, 3D environment, Moving Objects, Smart Cities

M. McGuire

Towson University, Maryland, USA

R.E. McRoberts

U.S. Forest Service, St. Paul, Minnesota, USA

X. Niu

Troy University, Troy, Alabama, USA
Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa Vegetation assessment, Rangeland assessment, Leaf nitrogen, Herbaceous biomass, Multiscale remote sensing, Hyperspectral

F. Remondino

Fondazione Bruno Kessler, Trento, Italy Photogrammetry, 3D imaging, Oblique cameras, Vision metrology

M. Shortis

RMIT University, Melbourne, Australia Close-range photogrammetry, Camera calibration, Underwater photogrammetry, Photogrammetric network adjustment, Optical metrology

C. Song

University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA Remote sensing of Vegetation, Land-Use/Land Cover Change, Terrestrial Ecosystem Productivity, Terrestrial Ecosystem Evapotranspiration, Forest Ecosystems, Urban Ecosystems, Leaf Area Index, Vegetation Canopy Structure

K. Tan

China University of Mining and Technology, Xuzhou, China

P.S. Thenkabail

U.S. Geological Survey USGS, Flagstaff, Arizona, USA 

M.G. Vosselman

University of Twente, Enschede, Netherlands Photogrammetry, Laser scanning, Point cloud processing, 3D geo-information

W. Wagner

Technische Universität Wien, Vienna, Austria Scatterometry, SAR, Full-waveform laser scanning, Soil moisture, Biomass

J. Wang

Washington University in St. Louis, St. Louis, Missouri, USA
University of Rhode Island, Kingston, Rhode Island, USA

J.D. Wegner

ETH Zürich, Zurich, Switzerland Geospatial computer vision, Photogrammetry, Remote Sensing, Large-Scale Machine Learning, Deep Convolutional Neural Networks

C. Witharana

Stony Brook University, Stony Brook, New York, USA Object-based image analysis, Image segmentation, Data fusion, Image classification, GIScience, Feature extraction

B. Wu

The Hong Kong Polytechnic University, Kowloon, Hong Kong Photogrammetry; Planetary mapping; Image matching; Data fusion
U.S. Geological Survey (USGS), Sioux Falls, South Dakota, USA

Z. Xie

Florida Atlantic University, Boca Raton, Florida, USA

B. Xu

Tsinghua University, Beijing, China

B. Yang

Wuhan University, Wuhan Hubei, China Laser Scanning, Mobile Mapping, Point Clouds Processing, 3D Scene Analysis, Feature Extraction


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