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检索条件"主题词=Object-Based Classification"
321 条 记 录,以下是71-80 订阅
排序:
Spectral-texture feature extraction using statistical moments with application to object-based vegetation species classification
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INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION 2011年 第4期2卷 347-361页
作者: Li, Zhengrong Hayward, Ross Liu, Yuee Walker, Rodney Queensland Univ Technol Fac Sci & Technol Brisbane Qld 4001 Australia Queensland Univ Technol Australian Res Ctr Aerosp Automat Brisbane Qld 4009 Australia Griffith Univ Sch Engn Brisbane Qld 4111 Australia
The use of appropriate features to characterise an output class or object is critical for all classification problems. In order to find optimal feature descriptors for vegetation species classification in a power line... 详细信息
来源: 评论
A fuzzy rule base system for object-based feature extraction and classification
A fuzzy rule base system for object-based feature extraction...
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Conference on Signal Processing, Sensor Fusion, and Target Recognition XVI
作者: Jin, Xiaoying Paswaters, Scott ITT Visual Informat Solut 4990 Pearl East Circle Boulder CO 80301 USA
In this paper, we present a fuzzy rule base system for object-based feature extraction and classification on remote sensing imagery. First, the object primitives are generated from the segmentation step. object primit... 详细信息
来源: 评论
object-based Multispectral Image Segmentation and classification  7
Object-based Multispectral Image Segmentation and Classifica...
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7th International Symposium on Telecommunications (IST)
作者: Mirzapour, Fardin Ghassemian, Hassan Tathiat Modares Univ Fac Elect & Comp Engn Tehran Iran
In this paper an object-based method for multispectral image segmentation and classification is proposed. Normally, in remote sensing a scene is represented by pixel-based features. It is possible to reduce data redun... 详细信息
来源: 评论
object-based LAND COVER classification FOR ALOS IMAGE COMBINING TM SPECTRAL INFORMATION
OBJECT-BASED LAND COVER CLASSIFICATION FOR ALOS IMAGE COMBIN...
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ISPRS Conference on Serving Society with Geoinformatics (SSG)
作者: Wang, Guizhou Liu, Jianbo He, Guojin Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100094 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China
Land cover classification for high spatial resolution remote sensing images becomes a challenging work. The high spatial resolution remote sensing images have more spatial information. The low or medium resolution rem... 详细信息
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WorldView-2 Data for Hierarchical object-based Urban Land Cover classification in Kigali: Integrating Rule-based Approach with Urban Density and Greenness Indices
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REMOTE SENSING 2019年 第18期11卷 2128-2128页
作者: Mugiraneza, Theodomir Nascetti, Andrea Ban, Yifang KTH Royal Inst Technol Dept Urban Planning & Environm Div Geoinformat Teknikringen 10A S-10044 Stockholm Sweden Univ Rwanda Coll Sci & Technol Ctr Geog Informat Syst & Remote Sensing KN 67 StPOB 3900 Nyarugenge Kigali Rwanda
The emergence of high-resolution satellite data, such as WorldView-2, has opened the opportunity for urban land cover mapping at fine resolution. However, it is not straightforward to map detailed urban land cover and... 详细信息
来源: 评论
object-based Image Analysis for Coral Reef Benthic Habitat Mapping with Several classification Algorithms
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Procedia Environmental Sciences 2015年 24卷 222-227页
作者: Nurhalis Wahidin Vincentius P. Siregar Bisman Nababan Indra Jaya Sam Wouthuyzen Marine Technology Graduate Program Faculty of Fisheries and Marine Sciences Bogor Agricultural University Bogor Indonesia Faculty of Fisherie and Marine Science Khiarun University Ternate Indonesia Department of Marine Science and Technology Bogor Agricultural University Bogor Indonesia Oceanographic Research Center Indonesian Institute of Science Jakarta Indonesia
object-based classification technique (OBIA) in Landsat image analysis is assumed to be able to increase classification accuracy result compared with a pixel-based classification technique. Most of the previous resear... 详细信息
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Dimensionality Reduction and Feature Selection for object-based Land Cover classification based on Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine
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REMOTE SENSING 2020年 第1期12卷 76-76页
作者: Stromann, Oliver Nascetti, Andrea Yousif, Osama Ban, Yifang KTH Royal Inst Technol Dept Urban Planning & Environm Div Geoinformat Teknikringen 10 S-14428 Stockholm Sweden
Mapping Earth's surface and its rapid changes with remotely sensed data is a crucial task to understand the impact of an increasingly urban world population on the environment. However, the impressive amount of av... 详细信息
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object-based vs. Pixel-based classification of Mangrove Forest Mapping in Vien An Dong Commune, Ngoc Hien District, Ca Mau Province Using VNREDSat-1 Images
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Advances in Remote Sensing 2016年 第4期5卷 284-295页
作者: Nguyen Thi Quynh Trang Le Quang Toan Tong Thi Huyen Ai Nguyen Vu Giang Pham Viet Hoa Space Technology Institute Vietnam Academy of Science and Technology Hanoi Vietnam Ho Chi Minh Institute of Resource Geography Vietnam Academy of Science and Technology Ho Chi Minh City Vietnam
Many researches have been performed comparing object-based classification (OBC) and pixel-based classification (PBC), particularly in classifying high-resolution satellite images. VNREDSat-1 is the first optical remot... 详细信息
来源: 评论
AdaBoosted Extra Trees Classifier for object-based Multispectral Image classification of Urban Fringe Area
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INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS 2022年 第3期22卷
作者: Patel, Alpesh M. Suthar, Anil Vishwakarma Govt Engn Coll Dept Elect & Commun Chandkheda India Gujarat Technol Univ Ahmadabad 382424 Gujarat India LJ Inst Engn & Technol Ahmadabad Gujarat India
In the past decade, it is proven that satellite image classification using an object-based technique is better than the standard pixel-based technique. With the increasing need for classifying multispectral satellite ... 详细信息
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Enhancing Land Cover Mapping through Integration of Pixel-based and object-based classifications from Remotely Sensed Imagery
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REMOTE SENSING 2018年 第1期10卷 77-77页
作者: Chen, Yuehong Zhou, Ya'nan Ge, Yong An, Ru Chen, Yu Hohai Univ Sch Earth Sci & Engn Nanjing 210098 Jiangsu Peoples R China Chinese Acad Sci Inst Geog Sci & Nat Resources Res State Key Lab Resources & Environm Informat Syst Beijing 100101 Peoples R China Nanjing Normal Univ Sch Geog Sci Nanjing 210023 Jiangsu Peoples R China
Pixel-based and object-based classifications are two commonly used approaches in extracting land cover information from remote sensing images. However, they each have their own inherent merits and limitations. This st... 详细信息
来源: 评论