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检索条件"主题词=Object-based Image Analysis"
495 条 记 录,以下是401-410 订阅
排序:
Mapping Banana Plants from High Spatial Resolution Orthophotos to Facilitate Plant Health Assessment
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REMOTE SENSING 2014年 第9期6卷 8261-8286页
作者: Johansen, Kasper Sohlbach, Malte Sullivan, Barry Stringer, Samantha Peasley, David Phinn, Stuart Univ Queensland Sch Geog Planning & Environm Management Biophys Remote Sensing Grp Brisbane Qld 4072 Australia Trimble Geospatial D-80636 Munich Germany Australian Banana Growers Council Inc South Gate East Commercial Ctr Rocklea Qld 4106 Australia Peasley Hort Serv Murwillumbah NSW 2484 Australia
The Banana Bunchy Top Virus (Genus: Babuvirus) reduces plant growth and prevents banana production. Because of the very large number of properties with banana plants in South East Queensland, Australia, a mapping appr... 详细信息
来源: 评论
object-based Land-Cover Mapping with High Resolution Aerial Photography at a County Scale in Midwestern USA
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REMOTE SENSING 2014年 第11期6卷 11372-11390页
作者: Li, Xiaoxiao Shao, Guofan Arizona State Univ Julie Ann Wrigley Global Inst Sustainabil Tempe AZ 85287 USA Purdue Univ Dept Forestry & Nat Resources W Lafayette IN 47907 USA
There are growing demands for detailed and accurate land cover maps in land system research and planning. Macro-scale land cover maps normally cannot satisfy the studies that require detailed land cover maps at micro ... 详细信息
来源: 评论
object-based classification of semi-arid vegetation to support mine rehabilitation and monitoring
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JOURNAL OF APPLIED REMOTE SENSING 2014年 第1期8卷
作者: Bao, Nisha Lechner, Alex M. Johansen, Kasper Ye, Baoying Northeast Univ Inst Geoinformat & Digital Mine Res Shenyang 110819 Peoples R China Univ Queensland Sustainable Minerals Inst Ctr Mined Land Rehabil St Lucia Qld 4072 Australia Univ Tasmania Ctr Environm Hobart Tas 7005 Australia Univ Queensland Sch Geog Planning & Environm Management Biophys Remote Sensing Grp St Lucia Qld 4072 Australia China Univ Geosci Sch Land Sci & Technol Beijing 100083 Peoples R China
Mining activities result in significantly modified landscapes that require rehabilitation to mitigate the negative environmental impacts and restore ecological function. The aim of this study was to develop a remote s... 详细信息
来源: 评论
Hierarchical Segmentation Framework for Identifying Natural Vegetation: A Case Study of the Tehachapi Mountains, California
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REMOTE SENSING 2014年 第8期6卷 7276-7302页
作者: Liau, Yan-Ting Univ Oklahoma Ctr Spatial Anal Norman OK 73019 USA
Two critical limitations of very high resolution imagery interpretations for time-series analysis are higher imagery variances and large data sizes. Although object-based analyses with a multi-scale framework for dive... 详细信息
来源: 评论
A Semisupervised Latent Dirichlet Allocation Model for object-based Classification of VHR Panchromatic Satellite images
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2014年 第4期11卷 863-867页
作者: Shen, Li Tang, Hong Chen, Yunhao Gong, Adu Li, Jing Yi, Wenbin Beijing Normal Univ State Key Lab Earth Surface Proc & Resource Ecol Beijing 100875 Peoples R China Beijing Normal Univ Key Lab Environm Change & Nat Disaster Beijing 100875 Peoples R China HSE Informat Ctr CNPC Inst Safety & Environm Technol Beijing 102206 Peoples R China
Typically, object-based classification methods are learned using training samples with labels attached to image objects. In this letter, a semisupervised object-based method in the framework of topic modeling is propo... 详细信息
来源: 评论
Optimization of Segmentation Algorithms Through Mean-Shift Filtering Preprocessing
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2014年 第3期11卷 622-626页
作者: Wang, Leiguang Liu, Guoying Dai, Qinling Southwest Forestry Univ Kunming 650224 Peoples R China Anyang Normal Univ Anyang 455002 Peoples R China
This letter proposes an improved mean-shift filtering method. The method is added as a preprocessing step for regional segmentation methods, which aims at benefiting segmentations in a more general way. Using this met... 详细信息
来源: 评论
Differentiating tower karst (fenglin) and cockpit karst (fengcong) using DEM contour, slope, and centroid
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ENVIRONMENTAL EARTH SCIENCES 2014年 第2期72卷 407-416页
作者: Huang, Wei Deng, Chengbin Day, Michael J. Univ Wisconsin Dept Geog Milwaukee WI 53201 USA SUNY Binghamton Dept Geog Binghamton NY 13902 USA
The complex geometry of tropical karst landforms poses particular challenges for morphometric analysis, morphological classification and evolutionary assessment. Detailed geomorphological studies of the two most spect... 详细信息
来源: 评论
Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification
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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2014年 94卷 169-182页
作者: Rasanen, Aleksi Kuitunen, Markku Tomppo, Erkki Lensu, Anssi Univ Jyvaskyla Dept Biol & Environm Sci FI-40014 Jyvaskyla Finland Finnish Forest Res Inst FI-01301 Vantaa Finland
We developed a classification workflow for boreal forest habitat type mapping. In object-based image analysis framework, Fractal Net Evolution Approach segmentation was combined with random forest classification. High... 详细信息
来源: 评论
Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality
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REMOTE SENSING 2014年 第5期6卷 4515-4545页
作者: Waser, Lars T. Kuechler, Meinrad Juette, Kai Stampfer, Theresia Swiss Fed Res Inst WSL CH-8903 Birmensdorf Switzerland Landesforst Mecklenburg Vorpommern Fachgebiet Entwicklung & Betrieb IT Gestutzter Fa D-19061 Schwerin Germany
Forest disturbances in central Europe caused by fungal pests may result in widespread tree mortality. To assess the state of health and to detect disturbances of entire forest ecosystems, up-to-date knowledge of the t... 详细信息
来源: 评论
Hybrid region merging method for segmentation of high-resolution remote sensing images
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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2014年 第Dec.期98卷 19-28页
作者: Zhang, Xueliang Xiao, Pengfeng Feng, Xuezhi Wang, Jiangeng Wang, Zuo Nanjing Univ Jiangsu Prov Key Lab Geog Informat Sci & Technol Nanjing Peoples R China Nanjing Univ Key Lab Satellite Mapping Technol & Applicat Stat Nanjing Peoples R China Nanjing Univ Dept Geog Informat Sci Nanjing Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Sch Atmospher Phys Nanjing Peoples R China
image segmentation remains a challenging problem for object-based image analysis. In this paper, a hybrid region merging (HRM) method is proposed to segment high-resolution remote sensing images. HRM integrates the ad... 详细信息
来源: 评论