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检索条件"主题词=Object-based Classification"
321 条 记 录,以下是291-300 订阅
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Utility of Landsat Image in the Study of Land Cover and Land Surface Temperature Change
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Procedia Environmental Sciences 2011年 10卷 1287-1292页
作者: Zhi-qiang Lv Qi-gang Zhou Tourism and Land Department Chongqing Technology and Business University Chongqing China Chongqing Engineering Technology Research Center for Information Mangement in Developent Chongqing Technology and Business University Chongqing China
Scientists have aimed at exploring land use and land cover (LULC) and their environmental influence in order to improve our understanding of the causes and consequences of these phenomena. This study addresses and use... 详细信息
来源: 评论
object classification of Aerial Images With Bag-of-Visual Words
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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2010年 第2期7卷 366-370页
作者: Xu, Sheng Fang, Tao Li, Deren Wang, Shiwei Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit Shanghai 200240 Peoples R China Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Peoples R China
This letter presents a Bag-of-Visual Words (BOV) representation for object-based classification in land-use/cover mapping of high spatial resolution aerial photograph. The method is introduced to handle the special ch... 详细信息
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Pixel, object and hybrid classification comparisons
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JOURNAL OF SPATIAL SCIENCE 2010年 第1期55卷 43-54页
作者: Bernardini, A. Frontoni, E. Malinverni, E. S. Mancini, A. Tassetti, A. N. Zingaretti, P. Polytech Univ Marche Fac Engn DARDUS Ancona Italy Polytech Univ Marche Fac Engn DIIGA Ancona Italy
The choice of the best classification approach for thematic map generation relies on many factors, such as image resolution and minimum mapping unit The generalized GIS-ready pi ducts derived from the results of pixel... 详细信息
来源: 评论
Utility of landsat Image in the Study of Land Cover and Land Surface Temperature Change
Utility of landsat Image in the Study of Land Cover and Land...
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2011 3rd International Conference on Environmental Science and Information Application Technology(ESIAT 2011)
作者: Zhi-qiang Lv Qi-gang Zhou Tourism and Land Department Chongqing Technology and Business University Chongqing Engineering Technology Research Center for Information Mangement in Developent Chongqing Technology and Business University
Scientists have aimed at exploring land use and land cover(LULC) and their environmental influence in order to improve our understanding of the causes and consequences of these phenomena. This study addresses and use ... 详细信息
来源: 评论
Per-Field Irrigated Crop classification in Arid Central Asia Using SPOT and ASTER Data
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REMOTE SENSING 2010年 第4期2卷 1035-1056页
作者: Conrad, Christopher Fritsch, Sebastian Zeidler, Julian Ruecker, Gerd Dech, Stefan Univ Wurzburg Remote Sensing Unit D-97074 Wurzburg Germany German Remote Sensing Data Ctr DFD German Aerosp Ctr DLR D-82234 Oberpfaffenhofen Wessling Germany
The overarching goal of this research was to explore accurate methods of mapping irrigated crops, where digital cadastre information is unavailable: (a) Boundary separation by object-oriented image segmentation using ... 详细信息
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Mapping Postfire Vegetation Recovery Using EO-1 Hyperion Imagery
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2010年 第3期48卷 1613-1618页
作者: Mitri, George H. Gitas, Ioannis Z. Univ Trieste Dept Biol I-34127 Trieste Italy Aristotle Univ Thessaloniki Sch Forestry & Nat Environm Lab Forest Management & Remote Sensing Thessaloniki 54124 Greece
The aim of this paper is to investigate whether it is possible to accurately map postfire vegetation recovery on the Mediterranean island of Thasos by employing Earth Observing- 1 (EO-1) Hyperion imagery and object-ba... 详细信息
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Use of textural measurements to map invasive wetland plants in the Hudson River National Estuarine Research Reserve with IKONOS satellite imagery
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REMOTE SENSING OF ENVIRONMENT 2010年 第4期114卷 876-886页
作者: Laba, Magdeline Blair, Betsy Downs, Roger Monger, Bruce Philpot, William Smith, Stephen Sullivan, Patrick Baveye, Philippe C. Cornell Univ Dept Civil & Environm Engn Ithaca NY 14853 USA Bard Coll Field Stn Hudson River NERR NYSDEC Annandale On Hudson NY 12504 USA Cornell Univ Inst Resource Informat Sci Ithaca NY 14853 USA Cornell Univ Dept Earth & Atmospher Sci Ithaca NY 14853 USA Cornell Univ Dept Nat Resources Ithaca NY 14853 USA Abertay Univ SIMBIOS Ctr Dundee DD1 1HG Scotland
At this point, models, and accompanying field data, that could be used to predict the likely response of estuaries and tidal marshes to future environmental change are lacking. To improve this situation, monitoring ef... 详细信息
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object-based feature extraction using high spatial resolution satellite data of urban areas
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JOURNAL OF SPATIAL SCIENCE 2010年 第1期55卷 117-132页
作者: Taubenboeck, H. Esch, T. Wurm, M. Roth, A. Dech, S. German Aerosp Ctr DLR German Remote Sensing Data Ctr DFD D-82234 Oberpfaffenhofen Wessling Germany Univ Wurzburg Inst Geog D-97074 Wurzburg Germany
Urban morphology is characterized by a complex and variable coexistence of diverse, spatially and spectrally heterogeneous objects Built-up areas are among the most rapidly changing and expanding elements of the lands... 详细信息
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Mapping urban landscape heterogeneity: agreement between visual interpretation and digital classification approaches
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LANDSCAPE ECOLOGY 2010年 第1期25卷 53-67页
作者: Zhou, Weiqi Schwarz, Kirsten Cadenasso, M. L. Univ Calif Davis Dept Plant Sci Davis CA 95616 USA Cary Inst Ecosyst Studies Millbrook NY 12545 USA Rutgers State Univ Dept Ecol Evolut & Nat Resources New Brunswick NJ 08901 USA
Visual interpretation of remotely sensed imagery has long been used for landscape pattern analysis. Few studies, however, have investigated human variation in estimates of within-patch composition for classification o... 详细信息
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An automatic region-based image segmentation algorithm for remote sensing applications
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ENVIRONMENTAL MODELLING & SOFTWARE 2010年 第10期25卷 1149-1165页
作者: Wang, Zhongwu Jensen, John R. Im, Jungho SUNY Syracuse Dept Environm Resources & Forest Engn Coll Environm Sci & Forestry Syracuse NY 13210 USA Sanborn Map Co Ann Arbor MI 48103 USA Univ S Carolina Dept Geog Columbia SC 29208 USA
object-based image analysis has proven its potentials for remote sensing applications, especially when using high-spatial resolution data. One of the first steps of object-based image analysis is to generate homogeneo... 详细信息
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