Building areas extraction basing on MSER in unmanned aerial vehicle images

被引：0
|
作者：
Ding, Wenrui [1 ]
Kang, Chuanbo [2 ]
Li, Hongguang [1 ]
Liu, Shuo [2 ]
机构：
[1] Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing,100191, China
[2] School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing,100191, China
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2015年 / 41卷 / 03期
关键词：
Analysis and calculations - Building areas - Extraction algorithms - Graham algorithm - Imaging characteristics - Maximum stable extremal regions - Pre-Treatment - Real-time application;
D O I：
10.13700/j.bh.1001-5965.2014.0177
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：383 / 390
相关论文
共 50 条
  • [41] A Deep Learning Approach on Building Detection from Unmanned Aerial Vehicle-Based Images in Riverbank Monitoring
    Boonpook, Wuttichai
    Tan, Yumin
    Ye, Yinghua
    Torteeka, Peerapong
    Torsri, Kritanai
    Dong, Shengxian
    SENSORS, 2018, 18 (11)
  • [42] Human Performance in Vehicle Recognition with Visual and Infrared Images from Unmanned Aerial Vehicle
    Norrblom, Petter
    Lif, Patrik
    Nasstrom, Fredrik
    AUGMENTED COGNITION, PT I, AC 2024, 2024, 14694 : 182 - 198
  • [43] A Method Combining Line Detection and Semantic Segmentation for Power Line Extraction from Unmanned Aerial Vehicle Images
    Zhao, Wenbo
    Dong, Qing
    Zuo, Zhengli
    REMOTE SENSING, 2022, 14 (06)
  • [44] Automatic Building and Height Determination from Unmanned Aerial Vehicle Data
    Kaya, Efdal
    Erener, Arzu
    ADVANCES IN REMOTE SENSING AND GEO INFORMATICS APPLICATIONS, 2019, : 163 - 166
  • [45] Algorithm of Sheep Dense Counting Based on Unmanned Aerial Vehicle Images
    Zhao Jianmin
    Li Xuedong
    Li Baoshan
    LASER & OPTOELECTRONICS PROGRESS, 2021, 58 (22)
  • [46] Pothole Detection Based on Superpixel Features of Unmanned Aerial Vehicle Images
    Ling, Siwei
    Pan, Yong
    Chen, Weile
    Zhao, Yan
    Sun, Jianjun
    INTERNATIONAL JOURNAL OF PAVEMENT RESEARCH AND TECHNOLOGY, 2024,
  • [47] Identification of Soybean Foliar Diseases Using Unmanned Aerial Vehicle Images
    Tetila, Everton Castelao
    Machado, Bruno Brandoli
    de Souza Belete, Nicolas Alessandro
    Guimaraes, David Augusto
    Pistori, Hemerson
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 14 (12) : 2190 - 2194
  • [48] Quality Analysis of Unmanned Aerial Vehicle Images Using a Resolution Target
    Kim, Jin-Hyo
    Sung, Sang-Min
    APPLIED SCIENCES-BASEL, 2024, 14 (05):
  • [49] Fast automatic stitching for images of unmanned aerial vehicle in emergency response
    Xie, D. (dhxie@irsa.ac.cn), 1600, Institute of Computing Technology (25):
  • [50] Applications of unmanned aerial vehicle images on agricultural remote sensing monitoring
    Wang, L. (wanglimin01@caas.cn), 1600, Chinese Society of Agricultural Engineering (29):
12345