Object detection with multiple features in remote sensing image

被引：0
|
作者：
College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China [1 ]
机构：
来源：
Guofang Keji Daxue Xuebao | 2007年 / 4卷 / 72-76期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A method is presented for the localization of manmade objects in remote sensing images with complex scenes. The methodology was based on mean shift clustering in high dimension by extracting multiple features of manmade objects and forming them into a feature vector. By clustering the feature vectors, the manmade objects were segmented from the complex scenes. Results obtained on the detection of architectures in the image show that this methodology has good robustness and autonomy.
引用
收藏
相关论文
共 50 条
  • [41] Object Detection For Remote Sensing Image Based on Multiscale Feature Fusion Network
    Tian Tingting
    Yang Jun
    LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (16)
  • [42] QETR: A Query-Enhanced Transformer for Remote Sensing Image Object Detection
    Ma, Xinyu
    Lv, Pengyuan
    Zhong, Yanfei
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21 : 1 - 5
  • [43] A comprehensive review of optical remote-sensing image object detection datasets
    Yuan Y.
    Li L.
    Yao X.
    Li L.
    Feng X.
    Cheng G.
    Han J.
    National Remote Sensing Bulletin, 2023, 27 (12) : 2671 - 2687
  • [44] Object based image analysis for remote sensing
    Blaschke, T.
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (01) : 2 - 16
  • [45] Multiple Instance Graph Learning for Weakly Supervised Remote Sensing Object Detection
    Wang, Binglu
    Zhao, Yongqiang
    Li, Xuelong
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [46] Adaptive Downsampling and Scale Enhanced Detection Head for Tiny Object Detection in Remote Sensing Image
    Zhang, Yunzuo
    Liu, Ting
    Zhen, Jiawen
    Kang, Yaoxing
    Cheng, Yu
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 22
  • [47] Multiple Instance Graph Learning for Weakly Supervised Remote Sensing Object Detection
    Wang, Binglu
    Zhao, Yongqiang
    Li, Xuelong
    IEEE Transactions on Geoscience and Remote Sensing, 2022, 60
  • [48] Target Detection for Remote Sensing Image Based on Multiple ERP Components
    Xiao, Shangyi
    Tong, Li
    Liang, Ningning
    Shu, Jun
    Yan, Bin
    Zeng, Ying
    PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018), 2018, : 1199 - 1202
  • [49] Using Neural Networks to Combine Multiple Features in Remote Sensing Image Classification
    俞璐
    谢钧
    张艳艳
    JournalofDonghuaUniversity(EnglishEdition), 2015, 32 (02) : 225 - 228
  • [50] A Research on the Combination Strategies of Multiple Features for Hyperspectral Remote Sensing Image Classification
    Ma, Yuntao
    Li, Ruren
    Yang, Guang
    Sun, Lishuang
    Wang, Jingli
    JOURNAL OF SENSORS, 2018, 2018
12345