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    • Self-supervised monocular depth estimation in dynamic scenes based on deep learning

    • In the field of dynamic scene depth estimation, experts have systematically reviewed the progress of self supervised monocular dynamic scene depth estimation technology based on deep learning, providing solutions to address the impact of dynamic objects on depth estimation.
    • Vol. 28, Issue 9, Pages: 2170-2186(2024)   

      Received:02 March 2023

      Published:07 September 2024

    • DOI: 10.11834/jrs.20233060     

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  • Cheng B B,Yu Y,Zhang L,Wang Z Q and Jiang Z P. 2024. Self-supervised monocular depth estimation in dynamic scenes based on deep learning. National Remote Sensing Bulletin, 28(9):2170-2186 DOI: 10.11834/jrs.20233060.
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相关作者

ZHANG Lei 信息工程大学 地理空间信息学院
WANG Ziquan 信息工程大学 地理空间信息学院
JIANG Zhipeng 信息工程大学 地理空间信息学院
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 环渤海能源研究院;东北石油大学 计算机与信息技术学院
ZHAO Man 齐齐哈尔大学 通信与电子工程学院
CHEN Liangfu 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

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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