Remote Sensing Image Object Detection Based on Improved Sparse R-CNN

被引：0
|
作者：
Zhao, Li-Quan [1 ]
Chen, Chun-Lu [2 ]
Zhong, Tie [1 ]
Cui, Ying [3 ]
Jia, Yan-Fei [4 ]
机构：
[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education Northeast, Electric Power University, Jilin, 132012, China
[2] School of Electric Power Engineering, Northeast Electric Power University, Jilin, 132012, China
[3] Zhuhai Power Supply Bureau, Guangdong Electric Power Corporation, Zhuhai, 519000, China
[4] School of Electrical and Information Engineering, Beihua University, Jilin, 132013, China
来源：
Journal of Network Intelligence | 2023年 / 8卷 / 04期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
36
引用
收藏
页码：1303 / 1320
相关论文
共 50 条
  • [31] R-CNN for Small Object Detection
    Chen, Chenyi
    Liu, Ming-Yu
    Tuzel, Oncel
    Xiao, Jianxiong
    COMPUTER VISION - ACCV 2016, PT V, 2017, 10115 : 214 - 230
  • [32] Insulator Detection Method in Inspection Image Based on Improved Faster R-CNN
    Zhao, Zhenbing
    Zhen, Zhen
    Zhang, Lei
    Qi, Yincheng
    Kong, Yinghui
    Zhang, Ke
    ENERGIES, 2019, 12 (07)
  • [33] An aircraft detection algorithm in SAR image based on improved Faster R-CNN
    Li G.
    Su J.
    Li Y.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2021, 47 (01): : 159 - 168
  • [34] Urban Traffic Object Detection Based on Multi-Stage Proposal Sparse R-CNN
    Liu C.-Y.
    Zhang Y.-L.
    Bi X.-J.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2023, 51 (01): : 26 - 31
  • [35] Ship Detection Based on Faster R-CNN Network in Optical Remote Sensing Images
    Zhai, Min
    Liu, Huaping
    Sun, Fuchun
    Zhang, Yan
    PROCEEDINGS OF 2019 CHINESE INTELLIGENT AUTOMATION CONFERENCE, 2020, 586 : 22 - 31
  • [36] ME R-CNN: Multi-Expert R-CNN for Object Detection
    Lee, Hyungtae
    Eum, Sungmin
    Kwon, Heesung
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29 (29) : 1030 - 1044
  • [37] An object detection method for catenary component images based on improved Faster R-CNN
    Wu, Changdong
    He, Xu
    Wu, Yanliang
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (08)
  • [38] AN IMPROVED OBJECT DETECTION CNN MODULE FOR REMOTE SENSING IMAGES
    Li, Yingqi
    He, Lin
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1173 - 1176
  • [39] Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
    Sun, Peize
    Zhang, Rufeng
    Jiang, Yi
    Kong, Tao
    Xu, Chenfeng
    Zhan, Wei
    Tomizuka, Masayoshi
    Li, Lei
    Yuan, Zehuan
    Wang, Changhu
    Luo, Ping
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 14449 - 14458
  • [40] Decouple and Align Sparse R-CNN for End-to-End Object Detection
    Yao, Xin-Wei
    Zhang, Yu-Chen
    Zhi, Yu-Yi
    Zhang, Kai-Jie
    Yuan, Zhi-Heng
    PROCEEDINGS OF THE 2024 27 TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, CSCWD 2024, 2024, : 1328 - 1333
12345