多阶段遥感图像目标检测方法研究

doi:10.3969/j.issn.1006-2475.2020.09.012

计算机与现代化 ›› 2020, Vol. 0 ›› Issue (09): 66-72.doi: 10.3969/j.issn.1006-2475.2020.09.012

多阶段遥感图像目标检测方法研究

(1.中国科学院空天信息创新研究院,北京100094;2.中国科学院大学,北京100049;
3.中国科学院空间信息处理与应用系统技术重点实验室,北京100190)

收稿日期:2019-12-25 出版日期:2020-09-24 发布日期:2020-09-24
作者简介:孟曦婷(1995—),女,辽宁本溪人,硕士研究生,研究方向:遥感图像处理,E-mail: mengxiting17@mails.ucas.ac.cn。
基金资助:
国家自然科学基金资助项目(41427805); 国防科工局高分重大专项(30-Y20A15-9003-17/18,06-Y20A17-9001-17/18,30-Y20A28-9004-15/17)

A Multi-stage Remote Sensing Image Object Detection Method

(1. Aerospace Information Research Institutue, Chinese Academy of Sciences, Beijing 100094, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China;
3. Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Beijing 100190, China)

Received:2019-12-25 Online:2020-09-24 Published:2020-09-24

摘要/Abstract

摘要： 目标检测在自然场景和遥感场景中的研究极具挑战。尽管许多先进的算法在自然场景下取得了优异的成果，但是遥感图像的复杂性、目标尺度的多样性及目标密集分布的特性，使得针对遥感图像目标检测的研究步伐缓慢。本文提出一个新颖的多类别目标检测模型，可以自动学习特征融合时的权重，并突出目标特征，实现在复杂的遥感图像中有效地检测小目标和密集分布的目标。模型在公开数据集DOTA和NWPU VHR-10上的实验结果表明检测效果超过了大多数经典算法。

关键词: 多阶段, 特征融合, 语义增强, 目标检测, 遥感图像

Abstract: The research of object detection in natural scenes and remote sensing scenes is extremely challenging. Although many advanced algorithms have achieved excellent results in natural scenes, the complexity of remote sensing images, the diversity of object scales, and the dense distribution of object make the research on remote sensing image object detection slow. This paper proposes a novel multi-category object detection model which can automatically learn the weights of feature fusion and highlight object features at the same time. As a result, the model achieves effective detection of small objects and densely distributed objects in complex remote sensing images. The experimental results of the model on public datasets DOTA and NWPU VHR-10 show that the detection effect exceeds that of most classical algorithms.

Key words: multi-stage, feature fusion, semantic enhancement, object detection, remote sensing image

中图分类号:

TP751.2

孟曦婷, 计璐艳, . 多阶段遥感图像目标检测方法研究[J]. 计算机与现代化, 2020, 0(09): 66-72.

MENG Xi-ting, JI Lu-yan, . A Multi-stage Remote Sensing Image Object Detection Method[J]. Computer and Modernization, 2020, 0(09): 66-72.

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多阶段遥感图像目标检测方法研究

A Multi-stage Remote Sensing Image Object Detection Method

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多阶段遥感图像目标检测方法研究

A Multi-stage Remote Sensing Image Object Detection Method

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