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检索条件"主题词=Object-Based Image Analysis"
495 条 记 录,以下是21-30 订阅
排序:
Mapping InvasiveLupinus polyphyllusLindl. in Semi-natural Grasslands Using object-based image analysis of UAV-borne images
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PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE 2020年 第5期88卷 391-406页
作者: Wijesingha, Jayan Astor, Thomas Schulze-Brueninghoff, Damian Wachendorf, Michael Univ Kassel Grassland Sci & Renewable Plant Resources Steinstr 19 D-37213 Witzenhausen Germany
Knowledge on the spatio-temporal distribution of invasive plant species is vital to maintain biodiversity in grasslands which are threatened by the invasion of such plants and to evaluate the effect of control activit... 详细信息
来源: 评论
High-Resolution Mapping of Forest Carbon Stock Using object-based image analysis (OBIA) Technique
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JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 2020年 第6期48卷 865-875页
作者: Pandey, Sanjay Kumar Chand, Narendra Nandy, Subrata Muminov, Abulqosim Sharma, Anchit Ghosh, Surajit Srinet, Ritika DAV Postgrad Coll Dept Bot Gorakhpur 273001 Uttar Pradesh India Nepal Foresters Assoc Kathmandu 44600 Nepal Govt India Indian Space Res Org Indian Inst Remote Sensing Dept Space Dehra Dun 248001 Uttarakhand India Agcy Hydrometeorol Dept Agrometeorol Dushanbe 734 Tajikistan PT Riau Andalan Pulp & Paper Pangkalan Kerinci 28381 Indonesia Int Water Management Inst Colombo Sri Lanka
This study assessed and mapped the aboveground tree carbon stock using very high-resolution satellite imagery (VHRS)-WorldView-2 in Barkot forest of Uttarakhand, India. The image was pan-sharpened to get the spectrall... 详细信息
来源: 评论
Offshore benthic habitat mapping based on object-based image analysis and geomorphometric approach. A case study from the Slupsk Bank, Southern Baltic Sea
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SCIENCE OF THE TOTAL ENVIRONMENT 2021年 801卷 149712-149712页
作者: Janowski, Lukasz Wroblewski, Radoslaw Dworniczak, Janusz Kolakowski, Mateusz Rogowska, Karolina Wojcik, Michal Gajewski, Juliusz Gdynia Maritime Univ Maritime Inst Dlugi Targ 41-42 PL-80830 Gdansk Poland Univ Gdansk Inst Geog Bazynskiego 4 PL-480309 Gdansk Poland MEWO SA Starogardzka 16 PL-83010 Straszyn Poland Gdansk Univ Technol Fac Elect Telecommun & Informat Dept Comp Architecture Gabriela Narutowicza 11-12 PL-80233 Gdansk Poland
Benthic habitat mapping is a rapidly growing field of underwater remote sensing studies. This study provides the first insight for high-resolution hydroacoustic surveys in the Slupsk Bank Natura 2000 site, one of the ... 详细信息
来源: 评论
Advances of Local Climate Zone Mapping and Its Practice Using object-based image analysis
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ATMOSPHERE 2021年 第9期12卷 1146页
作者: Ma, Lei Zhu, Xiaoxiang Qiu, Chunping Blaschke, Thomas Li, Manchun Nanjing Univ Jiangsu Prov Key Lab Geog Informat Sci & Technol Key Lab Land Satellite Remote Sensing Applicat Minist Nat ResourcesSch Geog & Ocean Sci Nanjing 210023 Peoples R China Tech Univ Munich TUM Signal Proc Earth Observat D-80333 Munich Germany German Aerosp Ctr DLR Remote Sensing Technol Inst D-82234 Wessling Germany Univ Salzburg Dept Geoinformat Z GIS A-5020 Salzburg Austria
In the context of climate change and urban heat islands, the concept of local climate zones (LCZ) aims for consistent and comparable mapping of urban surface structure and cover across cities. This study provides a ti... 详细信息
来源: 评论
Landslide mapping using object-based image analysis and open source tools
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ENGINEERING GEOLOGY 2021年 282卷 106000-106000页
作者: Amatya, Pukar Kirschbaum, Dalia Stanley, Thomas Tanyas, Hakan Univ Space Res Assoc Columbia MD 21046 USA Goddard Earth Sci Technol & Res Columbia MD USA NASA Goddard Space Flight Ctr Hydrol Sci Lab Greenbelt MD USA Univ Twente Fac Geoinformat Sci & Earth Observat ITC Enschede Netherlands
Availability of high-resolution optical imagery and advances in image processing technologies have significantly improved our ability to map landslides. In recent years object-based image analysis (OBIA) has been gain... 详细信息
来源: 评论
An open-source approach to characterizing Chihuahuan Desert vegetation communities using object-based image analysis
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JOURNAL OF ARID ENVIRONMENTS 2021年 188卷 104383-104383页
作者: Bankert, Andrew R. Strasser, Erin H. Burch, Cristy G. Correll, Maureen D. Bird Conservancy Rockies Ft Collins CO 80521 USA Texas Pk & Wildlife Medard TX USA
Methods: for quantifying vegetative cover across landscapes have, until recently, been limited to ground-based surveys or remote sensing via satellites or aircraft, both of which can limit the spatial scale of resulti... 详细信息
来源: 评论
AN object based image analysis OF MULTISPECTRAL SATELLITE AND DRONE imageS FOR PRECISION AGRICULTURE MONITORING
AN OBJECT BASED IMAGE ANALYSIS OF MULTISPECTRAL SATELLITE AN...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Dwivedi, Arun Kant Singh, Arun Kumar Singh, Dharmendra Indian Inst Technol Roorkee Dept Comp Sci & Engn Roorkee Uttar Pradesh India Indian Inst Technol Roorkee Dept Elect & Commun Engn Roorkee Uttar Pradesh India
Accurate information on spatial distribution of crop and vegetation indices for crop health monitoring is important for precision agriculture monitoring. However, freely available multispectral satellite images and un... 详细信息
来源: 评论
Integrated object-based image analysis for semi-automated geological lineament detection in southwest England
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COMPUTERS & GEOSCIENCES 2019年 123卷 137-148页
作者: Yeomans, Christopher M. Middleton, Maarit Shail, Robin K. Grebby, Stephen Lusty, Paul A. J. Univ Exeter CEMPS Camborne Sch Mines Penryn Campus Penryn TR10 9FE Cornwall England British Geol Survey Ctr Environm Sci Keyworth NG12 5GG Notts England Geol Survey Finland POB 77 FI-96101 Rovaniemi Finland Univ Nottingham Nottingham Geospatial Inst Innovat Pk Nottingham NG7 2TU England
Regional lineament detection for mapping of geological structure can provide crucial information for mineral exploration. Manual methods of lineament detection are time consuming, subjective and unreliable. The use of... 详细信息
来源: 评论
Geographic object-based image analysis: A Primer and Future Directions
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REMOTE SENSING 2020年 第12期12卷 2012-2012页
作者: Kucharczyk, Maja Hay, Geoffrey J. Ghaffarian, Salar Hugenholtz, Chris H. Univ Calgary Dept Geog Calgary AB T2N 1N4 Canada
Geographic object-based image analysis (GEOBIA) is a remote sensing image analysis paradigm that defines and examines image-objects: groups of neighboring pixels that represent real-world geographic objects. Recent re... 详细信息
来源: 评论
Validating the use of object-based image analysis to map commonly recognized landform features in the United States
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CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 2019年 第5期46卷 441-455页
作者: Arundel, Samantha T. Sinha, Gaurav US Geol Survey Ctr Excellence Geospatial Informat Sci Rolla MO 65401 USA Ohio Univ Dept Geog Athens OH 45701 USA
The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of t... 详细信息
来源: 评论