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检索条件"主题词=Object-based Image Analysis"
495 条 记 录,以下是191-200 订阅
排序:
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
Estimating Class Dynamics for Fuzzy Markov Chain-based Multitemporal Cascade Classification
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2013年 第4期10卷 908-912页
作者: Feitosa, Raul Q. Mota, Guilherme L. A. Alves, Andrei O. Costa, Gilson A. O. P. Pontificia Univ Catolica Rio de Janeiro Dept Elect Engn BR-22451900 Rio De Janeiro Brazil Univ Estado Rio De Janeiro Dept Comp Syst Engn BR-20550900 Rio De Janeiro Brazil Univ Estado Rio De Janeiro Inst Math & Stat BR-20550900 Rio De Janeiro Brazil Univ Estado Rio De Janeiro BR-20550900 Rio De Janeiro Brazil
The key component of a fuzzy Markov chain (FMC)-based multitemporal cascade classifier is the transition possibility matrix (TPM). Such matrix represents the temporal dynamics of the land use/land cover classes in the... 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
A supervised approach for simultaneous segmentation and classification of remote sensing images
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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2018年 142卷 162-173页
作者: Zanotta, Daniel Capella Zortea, Maciel Ferreira, Matheus Pinheiro Natl Inst Sci Educ & Technol R Engn Alfredo Huch 475 BR-96201460 Rio Grande RS Brazil IBM Res Ave Pasteur 138-146 BR-22290240 Rio De Janeiro RJ Brazil Natl Inst Space Res INPE Remote Sensing Div BR-12227010 Sao Jose Dos Campos SP Brazil
object-based image classification is recognized as one of the best strategies to analyze high spatial resolution remote sensing images. This process includes defining scale parameters to form regions sharing similar c... 详细信息
来源: 评论
An open source object-based framework to extract landform classes
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EXPERT SYSTEMS WITH APPLICATIONS 2012年 第1期39卷 541-554页
作者: Camargo, F. F. Almeida, C. M. Costa, G. A. O. P. Feitosa, R. Q. Oliveira, D. A. B. Heipke, C. Ferreira, R. S. Natl Inst Space Res INPE Remote Sensing Div Sao Jose Dos Campos SP Brazil Catholic Univ Rio de Janeiro PUC Rio Dept Elect Engn Rio De Janeiro Brazil Leibniz Univ Hannover Inst Photogrammetry & GeoInformat D-30167 Hannover Germany
This paper introduces a new open source, knowledge-based framework for automatic interpretation of remote sensing images, called Interimage. This framework exhibits a flexible modular architecture, in which image proc... 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
Can you see green? Assessing the visibility of urban forests in cities
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LANDSCAPE AND URBAN PLANNING 2009年 第2期91卷 97-104页
作者: Yang, Jun Zhao, Linsen Mcbride, Joe Gong, Peng Temple Univ Dept Hort & Landscape Architecture Ambler PA 19002 USA SW Forestry Univ Fac Landscape Architecture Kunming 650224 Yunnan Province Peoples R China Univ Calif Berkeley Dept Environm Sci Policy & Management Berkeley CA 94720 USA Chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Sensing Sci Beijing 100101 Peoples R China Beijing Normal Univ Beijing 100101 Peoples R China
The Green View index was developed to evaluate the visibility of urban forests. It was estimated through a combination of field surveys and photography interpretation and tested in Berkeley, California. The results sh... 详细信息
来源: 评论
Technical design and system implementation of region-line primitive association framework
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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 2017年 130卷 202-216页
作者: Wang, Min Xing, Jinjin Wang, Jie Lv, Guonian Nanjing Normal Univ Key Lab Virtual Geog Environm Minist Educ Nanjing 210023 Jiangsu Peoples R China Jiangsu Ctr Collaborat Innovat Geog Informat Reso Nanjing 210023 Jiangsu Peoples R China
Apart from regions, image edge lines are an important information source, and they deserve more attention in object-based image analysis (OBIA) than they currently receive. In the region-line primitive association fra... 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