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检索条件"主题词=Object-based Classification"
321 条 记 录,以下是171-180 订阅
排序:
Assessing Texture Features to Classify Coastal Wetland Vegetation from High Spatial Resolution Imagery Using Completed Local Binary Patterns (CLBP)
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REMOTE SENSING 2018年 第5期10卷 778-778页
作者: Wang, Minye Fei, Xianyun Zhang, Yuanzhi Chen, Zhou Wang, Xiaoxue Tsou, Jin Yeu Liu, Dawei Lu, Xia HuaiHai Inst Technol Sch Geomat & Marine Informat Lianyungang 222002 Peoples R China Chinese Acad Sci Key Lab Lunar Sci & Deep Space Explorat Natl Astron Observ Beijing 100101 Peoples R China Chinese Univ Hong Kong Ctr Housing Innovat Shatin Hong Kong Peoples R China
Coastal wetland vegetation is a vital component that plays an important role in environmental protection and the maintenance of the ecological balance. As such, the efficient classification of coastal wetland vegetati... 详细信息
来源: 评论
Image Segmentation Parameter Selection and Ant Colony Optimization for Date Palm Tree Detection and Mapping from Very-High-Spatial-Resolution Aerial Imagery
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REMOTE SENSING 2018年 第9期10卷 1413-1413页
作者: Al-Ruzouq, Rami Shanableh, Abdallah Gibril, Mohamed Barakat A. AL-Mansoori, Saeed Univ Sharjah Dept Civil & Environm Engn Sharjah 27272 U Arab Emirates Univ Sharjah Res Inst Sci & Engn Sharjah 27272 U Arab Emirates MBRSC Applicat Dev & Anal Sect Dubai 211833 U Arab Emirates
Accurate mapping of date palm trees is essential for their sustainable management, yield estimation, and environmental studies. In this study, we integrated geographic object-based image analysis, class-specific accur... 详细信息
来源: 评论
Gully Erosion Mapping Using object-based and Pixel-based Image classification Methods
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ENVIRONMENTAL & ENGINEERING GEOSCIENCE 2015年 第2期21卷 101-110页
作者: Karami, Ayoob Khoorani, Asadollah Noohegar, Ahmad Shamsi, Seyed Rashid Fallah Moosavi, Vahid Hormozgan Univ Fac Nat Resources Bandar Bbbas Hormozgan Provi Iran Univ Tehran Fac Nat Resources Karaj Iran Shiraz Univ Coll Agr Shiraz Shiraz Province Iran Yazd Univ Fac Nat Resources Yazd Yzad Province Iran
Gully erosion mapping is a crucial step to monitor the erosion process and to study its current and future local impacts. Gully erosion mapping through fieldwork is difficult, time-consuming, and costly. This article ... 详细信息
来源: 评论
Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using object-based Approach: A Case Study from Almeria (Spain)
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REMOTE SENSING 2018年 第11期10卷 1751-1751页
作者: Nemmaoui, Abderrahim Aguilar, Manuel A. Aguilar, Fernando J. Novelli, Antonio Garcia Lorca, Andres Univ Almeria Dept Engn Ctra Sacramento S-N La Canada De San Urbano 04120 Almeria Spain Eurac Res Inst Renewable Energy Via A Volta 13-A I-39100 Bolzano Italy Univ Almeria Dept Geog Ctra Sacramento S-N Almeria 04120 Spain
A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: ... 详细信息
来源: 评论
classification of semiurban landscapes from very high-resolution satellite images using a regionalized multiscale segmentation approach
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JOURNAL OF APPLIED REMOTE SENSING 2017年 第3期11卷
作者: Kavzoglu, Taskin Erdemir, Merve Yildiz Tonbul, Hasan Gebze Tech Univ Dept Geomat Engn Gebze Turkey
In object-based image analysis, obtaining representative image objects is an important prerequisite for a successful image classification. The major threat is the issue of scale selection due to the complex spatial st... 详细信息
来源: 评论
Characterization of particulate matter deposited on urban tree foliage: A landscape analysis approach
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ATMOSPHERIC ENVIRONMENT 2017年 171卷 59-69页
作者: Lin, Lin Yan, Jingli Ma, Keming Zhou, Weiqi Chen, Guojian Tang, Rongli Zhang, Yuxin Chinese Acad Sci Res Ctr Ecoenvironm Sci State Key Lab Urban & Reg Ecol Shuangqing Rd 18 Beijing 100085 Peoples R China Univ Chinese Acad Sci 19 A Yuquan Rd Beijing 100049 Peoples R China Univ Calif Riverside Dept Bot & Plant Sci 900 Univ Ave Riverside CA 92521 USA Chongqing Acad Agr Sci Baixin Rd 100 Chongqing Peoples R China
Plants can mitigate ambient particulate matter by cleaning the air, which is crucial to urban environments. A novel approach was presented to quantitatively characterize particulate matter deposited on urban tree foli... 详细信息
来源: 评论
object-based Crop Species classification based on the Combination of Airborne Hyperspectral Images and LiDAR Data
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REMOTE SENSING 2015年 第1期7卷 922-950页
作者: Liu, Xiaolong Bo, Yanchen Beijing Normal Univ Res Ctr Remote Sensing State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China Beijing Normal Univ GIS Beijing 100875 Peoples R China Beijing Normal Univ Sch Geog Beijing 100875 Peoples R China Beijing Key Lab Remote Sensing Environm & Digital Beijing 100875 Peoples R China
Identification of crop species is an important issue in agricultural management. In recent years, many studies have explored this topic using multi-spectral and hyperspectral remote sensing data. In this study, we per... 详细信息
来源: 评论
Comparing Machine Learning Classifiers for object-based Land Cover classification Using Very High Resolution Imagery
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REMOTE SENSING 2015年 第1期7卷 153-168页
作者: Qian, Yuguo Zhou, Weiqi Yan, Jingli Li, Weifeng Han, Lijian Chinese Acad Sci Res Ctr Ecoenvironm Sci State Key Lab Urban & Reg Ecol Beijing 100085 Peoples R China
This study evaluates and compares the performance of four machine learning classifiers-support vector machine (SVM), normal Bayes (NB), classification and regression tree (CART) and K nearest neighbor (KNN)-to classif... 详细信息
来源: 评论
Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration
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GISCIENCE & REMOTE SENSING 2017年 第6期54卷 779-796页
作者: Amani, Meisam Salehi, Bahram Mahdavi, Sahel Granger, Jean Brisco, Brian Mem Univ Newfoundland C CORE Fac Engn & Appl Sci St John NF Canada Canada Ctr Mapping & Earth Observat Ottawa ON Canada
A vast portion of Newfoundland and Labrador (NL) is covered by wetland areas. Notably, it is the only province in Atlantic Canada that does not have a wetland inventory system. Wetlands are important areas of research... 详细信息
来源: 评论
object-based change monitoring in mining areas-taking Pingshuo as an example  2nd
Object-based change monitoring in mining areas-taking Pingsh...
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2nd International Symposium on Land Reclamation and Ecological Restoration (LRER)
作者: Zhang, M. L. Zhou, W. Yuan, T. Xie, Y. H. Li, Y. F. China Univ Geosci Sch Land Sci & Technol Beijing Peoples R China Indiana State Univ Dept Earth & Environm Syst Ctr Urban & Environm Change Terre Haute IN 47809 USA Beijing Normal Univ Sch Environm Beijing Peoples R China
In this paper, RapidEye Remote Sensing Image (Map 2012) and SPOT7 Remote Sensing Image (Map 2015) in Pingshuo Mining Area are selected as the data. Combined with object-based classification and change vector analysis ... 详细信息
来源: 评论