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    • A fine-grained obect detection method for remote sensing images based on dual classification head

    • A new breakthrough has been made in the field of fine detection of remote sensing image targets. Experts have proposed a detection method based on dual classification heads, which effectively solves the problems of insufficient utilization of similar data, interference from incorrect labels, and difficulty in distinguishing similar categories, significantly improving detection accuracy and robustness.
    • Vol. 30, Issue 1, Pages: 170-182(2026)   

      Received:14 June 2024

      Published:07 January 2026

    • DOI: 10.11834/jrs.20254243     

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  • Zhang F,Teng S H,Han X,Wang Y Q and Wang X Y. 2026. A fine-grained obect detection method for remote sensing images based on dual classification head. National Remote Sensing Bulletin, 30(1):170-182 DOI: 10.11834/jrs.20254243.
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相关作者

HE Xiaoqing 东北石油大学 计算机与信息技术学院
WANG Zhibao 东北石油大学 计算机与信息技术学院;东北石油大学 环渤海能源研究院
ZHAO Man 齐齐哈尔大学 通信与电子工程学院
CHEN Liangfu 东北石油大学 计算机与信息技术学院;中国科学院空天信息创新研究院遥感科学国家重点实验室;中国科学院大学
BI Xiuli 重庆邮电大学 计算机科学与技术学院
YANG Chao 西南交通大学 地球科学与工程学院
LIU Chang 西南交通大学 地球科学与工程学院
TANG Tengfeng 西南交通大学 地球科学与工程学院

相关机构

School of Computer and Information Technology, Northeast Petroleum University
Bohai-Rim Energy Research Institute, Northeast Petroleum University
School of Communication and Electronic Engineering, Qiqihar University
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
University of Chinese Academy of Sciences
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