Object detection on remote sensing images using deep learning: an improved single shot multibox detector method

Zhao Kun; Ren Xiaoxi; Kong Zhenzhen; Liu Min

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Object detection on remote sensing images using deep learning: an improved single shot multibox detector method

机译：使用深度学习的遥感图像对象检测：改进的单次Multibox探测器方法

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Remote sensing images recognition technology has great significance in many aspects, such as military navigation and environmental monitoring. We propose an improved single shot multibox detector approach by combining some strategies, including upsampling, focal loss, and proper calibration of key parameters. Comprehensive experiments on three remote sensing images datasets have demonstrated the effectiveness of the proposed approach in benchmarking with several state-of-the-art object detection methods. (C) 2019 SPIE and IS&T

机译：遥感图像识别技术在军事导航和环境监测等许多方面具有重要意义。我们通过组合一些策略，包括ups采样，焦损，以及关键参数的适当校准，提出了一种改进的单次射击多杆探测器方法。三个遥感图像数据集的综合实验已经展示了所提出的方法在以几种最先进的对象检测方法的基准测试中的有效性。（c）2019 SPIE和IS＆T

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来源
《Journal of electronic imaging》 |2019年第3期|033026.1-033026.7|共7页
作者
Zhao Kun; Ren Xiaoxi; Kong Zhenzhen; Liu Min;
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作者单位

Hunan Univ Coll Informat Sci & Engn Changsha Hunan Peoples R China;

Hunan Univ Coll Informat Sci & Engn Changsha Hunan Peoples R China;

Hunan Univ Coll Informat Sci & Engn Changsha Hunan Peoples R China;

Hunan Univ Coll Informat Sci & Engn Changsha Hunan Peoples R China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
remote sensing images; object detection; single shot multibox detector; upsampling; focal loss;

机译：遥感图像;对象检测;单次拍摄多杆探测器;上采样;焦点;

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专利

1. Object detection on remote sensing images using deep learning: an improved single shot multibox detector method [J] . Zhao Kun, Ren Xiaoxi, Kong Zhenzhen, Journal of electronic imaging . 2019,第3期

机译：使用深度学习对遥感图像进行目标检测：一种改进的单发多盒检测器方法
2. Combining a single shot multibox detector with transfer learning for ship detection using sentinel-1 SAR images [J] . Wang Yuanyuan, Wang Chao, Zhang Hong Remote sensing letters . 2018,第7a9期

机译：将单发多盒检测器与转移学习相结合，以使用定点1 SAR图像进行船舶检测
3. A METHOD OF BUILDING DETECTION IN REMOTE SENSING IMAGES BASED ON DEEP LEARNING WITH MULTIPLE LIGHTNESS DETECTORS [J] . D. M. Huang, H. R. Zhao, Y. Yao International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences . 2019,第4期

机译：基于多亮度检测器的深度学习遥感图像建设检测方法
4. Vehicles Detection On Expressway Via Deep Learning: Single Shot Multibox Object Detector [C] . Kuang-Hsuan Chen, Tawei David Shou, John Kun-Han Li, International Conference on Machine Learning and Cybernetics . 2018

机译：通过深度学习在高速公路上进行车辆检测：单发多箱物体检测器
5. Improving Single Shot Multibox Detector for Pedestrian Detection [D] . Huang, Yining. 2018

机译：改善单次射击多杆探测器，用于行人检测
6. An Improved Single Shot Multibox Detector Method Applied in Body Condition Score for Dairy Cows [O] . Xiaoping Huang, Zelin Hu, Xiaorun Wang, 2019

机译：一种改进的单发多盒检测器方法在奶牛身体状况评分中的应用
7. Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse [O] . Sandro Augusto Magalhães, Luís Castro, Germano Moreira, 2021

机译：评估单次Multibox探测器和YOLO深度学习模型，在温室中检测西红柿

Object detection on remote sensing images using deep learning: an improved single shot multibox detector method

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