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检索条件"主题词=Object-Based Classification"
321 条 记 录,以下是31-40 订阅
排序:
Image segmentation for the purpose of object-based classification
Image segmentation for the purpose of object-based classific...
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23rd International Geoscience and Remote Sensing Symposium (IGARSS 2003)
作者: Darwish, A Leukert, K Reinhardt, W Univ Bundeswehr Munich GIS Lab D-85577 Neubiberg Germany
The main aim of this research is to find optimum segmentation parameters for extracting different land cover classes. A relatively new segmentation approach, multiresolution segmentation, is being examined using two d... 详细信息
来源: 评论
A Noise Removal Approach for object-based classification of VHR Imagery via Post-classification  4
A Noise Removal Approach for Object-based Classification of ...
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International Conference on Audio, Language and Image Processing
作者: Zheng, Laiwen Wan, Lihong Huo, Hong Fang, Tao Shanghai Jiao Tong Univ Dept Automat Shanghai Peoples R China Minist Educ Key Lab Syst Control & Informat Proc Shanghai Peoples R China
The pixel-based classification of remotely sensed images always produces a large amount of "speckled" or "salt and pepper" noises. Both post-classification smoothing and object-based classification... 详细信息
来源: 评论
object-based classification of IKONOS Data for Endemic Torreya Mapping
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Procedia Environmental Sciences 2011年 10卷 1887-1891页
作者: Xiaoming Wang Ke Wang Benzhi Zhou Research Institute of Subtropical Forestry the Chinese Acadamy of Forestry Fuyang 311400 Zhejiang China Institution of Remote Sensing & Information Technology Application Zhejiang University Hangzhou 310029 Zhejiang China
Torreya ( T. grandis ‘Merrillii’ ) is a rare cash crop tree endemic to Kuaiji mountains of southern China. The present research demonstrated the use of spatial information in object-based classification for improvin... 详细信息
来源: 评论
Identifying concentrated areas of trip generators from high spatial resolution satellite images using object-based classification techniques
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APPLIED GEOGRAPHY 2014年 53卷 271-283页
作者: Soares Machado, Claudia A. Knopik Beltrame, Alessandra M. Shinohara, Eduardo J. Giannotti, Mariana A. Durieux, Laurent Nobrega, Tania M. Q. Quintanilha, Jose A. Univ Sao Paulo Polytech Sch Dept Transportat Engn Lab Geoproc BR-05508070 Sao Paulo Brazil Serv Nacl Aprendizagem Comercial SENAC Natl Serv Commercial Learning Off Grad Geoproc Sao Paulo Brazil CO AMBIENTAL ESTADO SAO PAULO CETESB SAO PAULO STATE ENVIRONM AGCY BR-05459900 Sao Paulo Brazil
The urban environment is highly complex and heterogeneous and is characterised by rapid changes in its configuration and characteristics, which scholars have referred to as urban growth. However, urban growth is not s... 详细信息
来源: 评论
URBAN AREA object-based classification BY FUSION OF HYPERSPECTRAL AND LIDAR DATA
URBAN AREA OBJECT-BASED CLASSIFICATION BY FUSION OF HYPERSPE...
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IEEE Joint International Geoscience and Remote Sensing Symposium (IGARSS) / 35th Canadian Symposium on Remote Sensing
作者: Kiani, Kamel Mojaradi, Barat Esmaeily, Ali Salehi, Bahram Grad Univ Adv Technol Dept Remote Sensing Engn Kerman Iran
This research presents a novel strategy for hyperspectral and LiDAR data fusion to generate accurate LC/LU maps with object based classification method. Unlike conventional object-based strategies (hierarchical and mu... 详细信息
来源: 评论
A NEW HIERARCHICAL object-based classification ALGORITHM FOR WETLAND MAPPING IN NEWFOUNDLAND, CANADA  38
A NEW HIERARCHICAL OBJECT-BASED CLASSIFICATION ALGORITHM FOR...
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38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Mohammadimanesh, Fariba Salehi, Bahram Mandianpari, Masoud Motagh, Mandi Mem Univ Newfoundland C CORE St John NF A1B 3X5 Canada Mem Univ Newfoundland Dept Elect Engn St John NF A1B 3X5 Canada Leibniz Univ Hannover Inst Photogrammetry & GeoInformat D-30167 Hannover Germany
In this study, a new hierarchical object-based Random Forest (RF) classification approach is proposed for discriminating between different wetland classes in a study area located in the north eastern portion of the Av... 详细信息
来源: 评论
HYBRID OPTIMIZATION OF object-based classification IN HIGH-RESOLUTION IMAGES USING CONTINOUS ANT COLONY ALGORITHM WITH EMPHASIS ON BUILDING DETECTION  2
HYBRID OPTIMIZATION OF OBJECT-BASED CLASSIFICATION IN HIGH-R...
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ISPRS Int Joint Conf of 2nd Conf on Geospatial Information Research GI Research, 4th Conf on Sensors and Models in Photogrammetry and Remote Sensing (SMPR), 6th Conf on Earth Observation of Environmental Changes (EOEC)
作者: Tamimi, E. Ebadi, H. Kiani, A. KN Toosi Univ Technol Fac Geodesy & Geomat Engn Tehran Iran
Automatic building detection from High Spatial Resolution (HSR) images is one of the most important issues in Remote Sensing (RS). Due to the limited number of spectral bands in HSR images, using other features will l... 详细信息
来源: 评论
object-based classification of IKONOS data for endemic Torreya mapping
Object-based classification of IKONOS data for endemic Torre...
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2011 3rd International Conference on Environmental Science and Information Application Technology(ESIAT 2011)
作者: Xiaoming Wang Ke Wang Benzhi Zhou Research Institute of Subtropical Forestry the Chinese Acadamy of Forestry Institution of Remote Sensing & Information Technology Application Zhejiang University
Torreya(T. grandis ‘Merrillii') is a rare cash crop tree endemic to Kuaiji mountains of southern China. The present research demonstrated the use of spatial information in object-based classification for improvin... 详细信息
来源: 评论
An Efficient Multi-stage object-based classification to Extract Urban Building Footprints from HR Satellite Images
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TRAITEMENT DU SIGNAL 2021年 第1期38卷 191-196页
作者: Pendyala, Gopala Krishna V. S. S. N. Kalluri, Hemantha Kumar Rao, Venkateswara C. Natl Remote Sensing Ctr Hyderabad 500037 Telangana India Vignans Fdn Sci Technol & Res Dept Comp Sci & Engn Vadlamudi 522213 Andhra Pradesh India
Urban building information can be effectively extracted by applying object-based image segmentation and multi-stage thresholding on High Resolution (HR) remote sensing satellite imageries. This study provides the resu... 详细信息
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A hybrid machine learning technique for feature optimization in object-based classification of debris-covered glaciers
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AIN SHAMS ENGINEERING JOURNAL 2022年 第6期13卷
作者: Sharda, Shikha Srivastava, Mohit Gusain, Hemendra Singh Sharma, Naveen Kumar Bhatia, Kamaljit Singh Bajaj, Mohit Kaur, Harsimrat Zawbaa, Hossam M. Kamel, Salah IK Gujral Punjab Tech Univ Dept Elect & Commun Engn Jalandhar 144603 Punjab India Chandigarh Engn Coll Dept Elect & Commun Engn Mohali 140307 Punjab India DRDO Inst Technol Management ITM Mussoorie 248179 India I K Gujral Punjab Tech Univ Dept Elect Engn Jalandhar 144603 Punjab India GB Pant Inst Engn & Technol Dept Elect & Commun Engn Pauri Garhwal 246194 India Natl Inst Technol Dept Elect & Elect Engn Delhi 110040 India CT Inst Engn & Technol Dept Elect & Commun Engn Jalandhar 144623 Punjab India Beni Suef Univ Fac Comp & Artificial Intelligence Bani Suwayf Egypt Technol Univ Dublin Dublin Ireland Aswan Univ Fac Engn Elect Engn Dept Aswan 81542 Egypt Technol Univ Dublin Cabra East Pk House191 N Circular Rd Dublin D07 EWV4 Ireland
object-based features like spectral, topographic, and textural are supportive to determine debris-covered glacier classes. The original feature space includes relevant and irrelevant features. The inclusion of all the... 详细信息
来源: 评论