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An AdaBoost Based Approach to Automatic Classification and Detection of Buildings Footprints, Vegetation Areas and Roads from Satellite Images

机译：基于AdaBoost的卫星图像自动识别和识别建筑物足迹，植被区域和道路的方法

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作者
Gonulalan, Cansu;
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作者单位

Northeastern University;

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授予单位 Northeastern University;
学科
学位 M.S.
年度 2010
页码 115 p.
总页数 115
原文格式 PDF
正文语种 eng
中图分类
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专利

1. MRF-based segmentation and unsupervised classification for building and road detection in peri-urban areas of high -resolution satellite images [J] . Grinias Ilias, Panagiotakis Costas, Tziritas Georgios ISPRS Journal of Photogrammetry and Remote Sensing . 2016,第deca期

机译：基于MRF的分割和无监督分类，用于高分辨率卫星图像在城市周边地区的建筑物和道路检测
2. Evaluation of LiDAR and image segmentation based classification techniques for automatic building footprint extraction for a segment of Atlantic County, New Jersey [J] . Prerna R., Singh Chander Kumar Geocarto international . 2016,第1a2期

机译：评估基于激光雷达和基于图像分割的分类技术，以自动提取新泽西州大西洋县某段的建筑占地面积
3. A new method for road detection in urban areas using high-resolution satellite images and Lidar data based on fuzzy nearest-neighbor classification and optimal features [J] . Lak Asghar Milan, Zoej Mohammad Javad Valadan, Mokhtarzade Mehdi Arabian journal of geosciences . 2016,第5期

机译：基于模糊近邻分类和最优特征的高分辨率卫星图像和激光雷达数据的城市道路检测新方法
4. SEMI-AUTOMATIC DETECTION OF VEGETATIONS IN DIGITAL SATELLITE IMAGES FOR BUILDING 3D TERRAINS [C] . Rafael Moreira Savelli, Roberto de Beauclair Seixas Visualization, Imaging, and Image Processing . 2006

机译：用于构建3D地形的数字卫星图像中的植被的半自动检测
5. A knowledge-based approach of satellite image classification for urban wetland detection. [D] . Xu, Xiaofan. 2014

机译：一种基于知识的卫星图像分类方法，用于城市湿地检测。
6. Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification [O] . Sunil Kumar Prabhakar, Harikumar Rajaguru 2020

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7. An Efficient Multi-stage Object-Based Classification to Extract Urban Building Footprints from HR Satellite Images [O] . Gopala Krishna VSSN Pendyala, Hemantha Kumar Kalluri, Venkateswara C. Rao 2021

机译：基于多级对象的分类，从HR卫星图像中提取城市建筑足迹

An AdaBoost Based Approach to Automatic Classification and Detection of Buildings Footprints, Vegetation Areas and Roads from Satellite Images

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