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检索条件"主题词=Object-based Image Analysis"
495 条 记 录,以下是421-430 订阅
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Change analysis at Stuttgart Airport Using TerraSAR-X imagery  5
Change Analysis at Stuttgart Airport Using TerraSAR-X Imager...
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Conference on Earth Resources and Environmental Remote Sensing/GIS Applications V
作者: Boldt, Markus Thiele, Antje Cadario, Erich Schulz, Karsten Hinz, Stefan Fraunhofer Inst Optron Syst Technol & Image Explo Gutleuthausstr 1 D-76275 Ettlingen Germany Karlsruhe Inst Technol Inst Photogrammetry & Remote Sensing D-76131 Karlsruhe Germany
Change detection based on remote sensing imagery is a topic highly on demand with various fields of application. Probably, disaster management is the best known, where it is crucial to get fast and reliable results to... 详细信息
来源: 评论
Feature Assessment in object-based Forest Classification using Airborne LiDAR Data and High Spatial Resolution Satellite imagery  3
Feature Assessment in Object-based Forest Classification usi...
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3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA)
作者: Zhang, Zhenyu Liu, Xiaoye Wright, Wendy Univ So Queensland Sch Civil Engn & Surveying Toowoomba Qld 4350 Australia Monash Univ Sch Appl Sci & Engn Churchill Vic 3842 Australia
The last decade has witnessed an increase in interest in the application of airborne LiDAR data and high spatial resolution satellite imagery for forest structure modelling, tree species identification and classificat... 详细信息
来源: 评论
A Knowledge-based Procedure for Remote Sensing image Classification  11
A Knowledge-based Procedure for Remote Sensing Image Classif...
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11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
作者: Zhang, Limin Xu, Tao Zhang, Jianting Yu, Yingfu Naval Aeronaut & Astronaut Univ Dept Sci Res Yantai Peoples R China Naval Aeronaut & Astronaut Univ Inst Informat Fus Yantai Peoples R China
object-based image analysis (OBIA) in combination with domain knowledge is an important methodology for remote sensing image interpretation. It can deal with semantic gap effectively. In this paper, a knowledge-based ... 详细信息
来源: 评论
A Comparison of Pixel-based and object-based Land Cover Classification Methods in an Arid/Semi-arid Environment of Northwestern China  3
A Comparison of Pixel-Based and Object-Based Land Cover Clas...
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3rd International Workshop on Earth Observation and Remote Sensing Applications (EORSA)
作者: Zhang, Jingxiao Jia, Li Chinese Acad Sci State Key Lab Remote Sensing Sci Inst Remote Sensing & Digital Earth Beijing 100101 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Joint Ctr Global Change Studies Beijing 100875 Peoples R China
Land cover classification provides useful information of vegetation for land surface models especially in arid areas. Due to the complex landscapes in the downstream area of the Heihe River basin in northwest China, a... 详细信息
来源: 评论
A Knowledge-based procedure for remote sensing image classification
A Knowledge-based procedure for remote sensing image classif...
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The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)
作者: Limin Zhang Tao Xu Yingfu Yu Jianting Zhang Department of Scientific Research Naval Aeronautical and Astronautical University Yantai China Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai China
object-based image analysis(OBIA)in combination with domain knowledge is an important methodology for remote sensing image *** can deal with semantic gap *** this paper,a knowledge-based procedure for remote sensing i... 详细信息
来源: 评论
Remote Sensing image Retrieval by Scene Semantic Matching
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2013年 第5期51卷 2874-2886页
作者: Wang, Min Song, Tengyi Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing 210046 Jiangsu Peoples R China
This paper proposes a remote sensing (RS) image retrieval scheme by using image scene semantic (SS) matching. The low-level image visual features (VFs) are first mapped into multilevel spatial semantics via VF extract... 详细信息
来源: 评论
Monitoring flood extent in the lower Amazon River floodplain using ALOS/PALSAR ScanSAR images
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REMOTE SENSING OF ENVIRONMENT 2013年 130卷 51-61页
作者: Arnesen, Allan S. Silva, Thiago S. F. Hess, Laura L. Novo, Evlyn M. L. M. Rudorff, Conrado M. Chapman, Bruce D. McDonald, Kyle C. Inst Nacl Pesquisas Espaciais Div Sensoriamento Remoto BR-12201970 Sao Jose Dos Campos Brazil Univ Calif Santa Barbara Earth Res Inst Santa Barbara CA 93106 USA Univ Calif Santa Barbara Bren Sch Environm Sci & Management Santa Barbara CA 93106 USA CALTECH Jet Prop Lab Pasadena CA 91109 USA CUNY City Coll Dept Earth & Atmospher Sci CUNY Environm Crossrd Initiat New York NY 10031 USA CUNY City Coll CUNY CREST Inst New York NY 10031 USA
The Amazon River floodplain is subject to large seasonal variations in water level and flood extent, due to the large size and low relief of the basin, and the large amount of precipitation in the region. Synthetic Ap... 详细信息
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Mapping trees outside forests using high-resolution aerial imagery: a comparison of pixel- and object-based classification approaches
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ENVIRONMENTAL MONITORING AND ASSESSMENT 2013年 第8期185卷 6261-6275页
作者: Meneguzzo, Dacia M. Liknes, Greg C. Nelson, Mark D. US Forest Serv No Res Stn USDA St Paul MN 55108 USA
Discrete trees and small groups of trees in nonforest settings are considered an essential resource around the world and are collectively referred to as trees outside forests (ToF). ToF provide important functions acr... 详细信息
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Semi-automated analysis of high-resolution aerial images to quantify docks in glacial lakes
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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2013年 81卷 60-69页
作者: Beck, Marcus W. Vondracek, Bruce Hatch, Lorin K. Vinje, Jason Univ Minnesota Conservat Biol Grad Program St Paul MN 55108 USA US Geol Survey Minnesota Cooperat Fish & Wildlife Res Unit St Paul MN 55108 USA Univ Minnesota Dept Fisheries Wildlife & Conservat Biol St Paul MN 55108 USA Minnesota Dept Nat Resources Div Fish & Wildlife Detroit Lakes MN 56501 USA
Lake resources can be negatively affected by environmental stressors originating from multiple sources and different spatial scales. Shoreline development, in particular, can negatively affect lake resources through d... 详细信息
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An object-based Approach for Urban Land Cover Classification: Integrating LiDAR Height and Intensity Data
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2013年 第4期10卷 928-931页
作者: Zhou, Weiqi Chinese Acad Sci Ecoenvironm Sci Res Ctr State Key Lab Urban & Reg Ecol Beijing 100085 Peoples R China
Digital surface models (DSMs) derived from light detection and ranging (LiDAR) data have been increasingly integrated with high-resolution multispectral satellite/aerial imagery for urban land cover classification. Fe... 详细信息
来源: 评论