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检索条件"主题词=Object-based Image Analysis"
495 条 记 录,以下是431-440 订阅
排序:
Application and Evaluation of the AI-Powered Segment Anything Model (SAM) in Seafloor Mapping: A Case Study from Puck Lagoon, Poland
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REMOTE SENSING 2024年 第14期16卷 2638页
作者: Janowski, Lukasz Wroblewski, Radoslaw Gdynia Maritime Univ Maritime Inst Roberta Plelo 20 PL-80548 Gdansk Poland Univ Gdansk Dept Geophys Pilsudskiego 46 PL-81378 Gdynia Poland MEWO SA Starogardzka 17A PL-83010 Straszyn Poland
The digital representation of seafloor, a challenge in UNESCO's Ocean Decade initiative, is essential for sustainable development support and marine environment protection, aligning with the United Nations' 20... 详细信息
来源: 评论
Comparative Assessment of Five Machine Learning Algorithms for Supervised object-based Classification of Submerged Seagrass Beds Using High-Resolution UAS imagery
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REMOTE SENSING 2023年 第14期15卷 3600-3600页
作者: Thomasberger, Aris Nielsen, Mette Moller Flindt, Mogens Rene Pawar, Satish Svane, Niels Tech Univ Denmark Natl Inst Aquat Resources Sect Coastal Ecol DK-2800 Lyngby Denmark Univ Southern Denmark Dept Biol DK-5230 Odense Denmark
Knowledge about the spatial distribution of seagrasses is essential for coastal conservation efforts. imagery obtained from unoccupied aerial systems (UAS) has the potential to provide such knowledge. Classifier choic... 详细信息
来源: 评论
Landscape-Level Associations of Wintering Waterbird Diversity and Abundance from Remotely Sensed Wetland Characteristics of Poyang Lake
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REMOTE SENSING 2016年 第6期8卷 462-462页
作者: Dronova, Iryna Beissinger, Steven R. Burnham, James W. Gong, Peng Univ Calif Berkeley Dept Landscape Architecture & Environm Planning Coll Environm Design Berkeley CA 94720 USA Univ Calif Berkeley Div Ecosyst Sci Dept Environm Sci Policy & Management Coll Nat Resources Berkeley CA 94720 USA Univ Wisconsin Dept Forest & Wildlife Ecol Coll Agr & Life Sci Madison WI 53706 USA Int Crane Fdn Baraboo WI 53913 USA Tsinghua Univ Ctr Earth Syst Sci Minist Educ Key Lab Earth Syst Modeling Beijing 100084 Peoples R China Poyang Lake Ecol Res Stn Environm & Hlth Duchang 332600 Peoples R China
Poyang Lake, the largest freshwater wetland in China, provides critical habitat for wintering waterbirds from the East Asian Flyway;however, landscape drivers of non-uniform bird diversity and abundance are not yet we... 详细信息
来源: 评论
Comparison and Assessment of Data Sources with Different Spatial and Temporal Resolution for Efficiency Orchard Mapping: Case Studies in Five Grape-Growing Regions
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REMOTE SENSING 2023年 第3期15卷 655-655页
作者: Yao, Zhiying Zhao, Yuanyuan Wang, Hengbin Li, Hongdong Yuan, Xinqun Ren, Tianwei Yu, Le Liu, Zhe Zhang, Xiaodong Li, Shaoming China Agr Univ Coll Land Sci & Technol Beijing 100083 Peoples R China Minist Agr & Rural Affairs Key Lab Remote Sensing Agrihazards Beijing 100083 Peoples R China Minist Nat Resources Peoples Republ China Key Lab Agr Land Qual Beijing 100083 Peoples R China Tsinghua Univ Inst Global Change Studies Dept Earth Syst Sci Minist EducKey Lab Earth Syst Modelling Beijing 100084 Peoples R China Tsinghua Univ Dept Earth Syst Sci Minist Educ Ecol Field Stn East Asian Migratory Bi Beijing 100084 Peoples R China
As one of the most important agricultural production types in the world, orchards have high economic, ecological, and cultural value, so the accurate and timely mapping of orchards is highly demanded for many applicat... 详细信息
来源: 评论
Extraction of Broad-Leaved Tree Crown based on UAV Visible images and OBIA-RF Model: A Case Study for Chinese Olive Trees
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REMOTE SENSING 2022年 第10期14卷 2469页
作者: Yang, Kaile Zhang, Houxi Wang, Fan Lai, Riwen Fujian Agr & Forestry Univ Forestry Coll Fuzhou 350002 Peoples R China State Forestry & Grassland Adm Soil & Water Conse Key Lab Fuzhou 350002 Peoples R China Cross Strait Collaborat Innovat Ctr Soil & Water Fuzhou 350002 Peoples R China Univ Key Lab Geomat Technol & Optimized Resources Fuzhou 350002 Peoples R China
Chinese olive trees (Canarium album L.) are broad-leaved species that are widely planted in China. Accurately obtaining tree crown information provides important data for evaluating Chinese olive tree growth status, w... 详细信息
来源: 评论
Optimized Segmentation based on the Weighted Aggregation Method for Loess Bank Gully Mapping
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REMOTE SENSING 2020年 第5期12卷 793-793页
作者: Ding, Hu Liu, Kai Chen, Xiaozheng Xiong, Liyang Tang, Guoan Qiu, Fang Strobl, Josef Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing 210023 Peoples R China South China Normal Univ Sch Geog Guangzhou 510631 Peoples R China Chinese Acad Sci Nanjing Inst Geog & Limnol Key Lab Watershed Geog Sci Nanjing 210008 Peoples R China Nanjing Normal Univ Sch Geog Nanjing 210023 Peoples R China Jiangsu Ctr Collaborat Innovat Geog Informat Reso Nanjing 210023 Peoples R China Univ Texas Dallas Dept Geospatial Sci Richardson TX 75080 USA Univ Salzburg Dept Geoinformat Z GIS A-5020 Salzburg Austria
The Chinese Loess Plateau suffers severe gully erosion. Gully mapping is a fundamental task for gully erosion monitoring in this region. Among the different gully types in the Loess Plateau, the bank gully is usually ... 详细信息
来源: 评论
Uncertainty analysis for object-based Change Detection in Very High-Resolution Satellite images Using Deep Learning Network
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REMOTE SENSING 2020年 第15期12卷 2345-2345页
作者: Song, Ahram Kim, Yongil Han, Youkyung Seoul Natl Univ Dept Civil & Environm Engn 1 Gwanak Ro Seoul 08826 South Korea Kyungpook Natl Univ Sch Convergence & Fus Syst Engn Sangju 37224 South Korea
object-based image analysis (OBIA) is better than pixel-based image analysis for change detection (CD) in very high-resolution (VHR) remote sensing images. Although the effectiveness of deep learning approaches has re... 详细信息
来源: 评论
Towards periodic and time-referenced flood risk assessment using airborne remote sensing
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JOURNAL OF HYDROLOGY AND HYDROMECHANICS 2016年 第4期64卷 438-447页
作者: Brenner, Claire Meisch, Claude Apperl, Benjamin Schulz, Karsten Univ Nat Resources & Life Sci Inst Water Management Hydrol & Hydraul Engn IWHW Muthgasse 18 A-1190 Vienna Austria
Flood risk management is founded on the regular assessment of damage potential. A significant parameter for assessing damage potential is the number of at-risk objects. However, data sets on exposure are often incompl... 详细信息
来源: 评论
UAV-based Land Cover Classification for Hoverfly (Diptera: Syrphidae) Habitat Condition Assessment: A Case Study on Mt. Stara Planina (Serbia)
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REMOTE SENSING 2021年 第16期13卷 3272页
作者: Ivosevic, Bojana Lugonja, Predrag Brdar, Sanja Radulovic, Mirjana Vujic, Ante Valente, Joao Univ Novi Sad BioSense Inst Res Inst Informat Technol Biosyst Novi Sad 21101 Serbia Univ Novi Sad Dept Biol & Ecol Fac Sci Novi Sad 21102 Serbia Wageningen Univ & Res Informat Technol Grp NL-6706 KN Wageningen Netherlands
Habitat degradation, mostly caused by human impact, is one of the key drivers of biodiversity loss. This is a global problem, causing a decline in the number of pollinators, such as hoverflies. In the process of digit... 详细信息
来源: 评论
Mapping Vegetation at Species Level with High-Resolution Multispectral and Lidar Data Over a Large Spatial Area: A Case Study with Kudzu
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REMOTE SENSING 2020年 第4期12卷 609-609页
作者: Liang, Wanwan Abidi, Mongi Carrasco, Luis McNelis, Jack Tran, Liem Li, Yingkui Grant, Jerome Univ Tennessee Dept Entomol & Plant Pathol Knoxville TN 37996 USA North Carolina State Univ Ctr Geospatial Analyt Raleigh NC 27695 USA Univ Tennessee Dept Elect Engn & Comp Sci Knoxville TN 37996 USA Natl Inst Math & Biol Synth Knoxville TN 37996 USA Univ Tennessee Dept Ecol & Evolutionary Biol Knoxville TN 37996 USA Oak Ridge Natl Lab Oak Ridge TN 37831 USA Univ Tennessee Dept Geog Knoxville TN 37996 USA
Mapping vegetation species is critical to facilitate related quantitative assessment, and mapping invasive plants is important to enhance monitoring and management activities. Integrating high-resolution multispectral... 详细信息
来源: 评论