TO–YOLOX: a pure CNN tiny object detection model for remote sensing images-Reference-Cited by-同舟云学术

TO–YOLOX: a pure CNN tiny object detection model for remote sensing images

Published:2023-09-25 Issue:1 Volume:16 Page:3882-3904
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Chen Zhe¹²³^ORCID,Liang Yuan¹⁴⁵⁶^ORCID,Yu Zhengbo¹⁴⁵^ORCID,Xu Ke¹⁴⁵,Ji Qingyun¹⁴⁵,Zhang Xueqi¹⁴⁵,Zhang Quanping⁷,Cui Zijia⁷,He Ziqiong⁵,Chang Ruichun¹⁴⁵^ORCID,Sun Zhongchang²³,Xiao Keyan⁸,Guo Huadong²³⁵

Affiliation:

1. School of Mathematics and Physics, Chengdu University of Technology, Chengdu, People’s Republic of China

2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of China

3. International Research Centre of Big Data for Sustainable Development Goals, Beijing, People’s Republic of China

4. Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, People’s Republic of China

5. Digital Hu Line Research Institute, Chengdu University of Technology, Chengdu, People’s Republic of China

6. School of Management Science, Chengdu University of Technology, Chengdu, People’s Republic of China

7. School of Earth Science and Resources, China University of Geosciences (Beijing), Beijing, People’s Republic of China

8. MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, People’s Republic of China

Funder

the Innovative Research Program of the International Research Center of Big Data for Sustainable Development Goals

the Sichuan Natural Resources Department Project

the Project of the Geological Exploration Management Department of the Ministry of Natural Resources

the Key Research and Development Program of Guangxi

the National Natural Science Foundation of China

the Chengdu University of Technology Postgraduate Innovative Cultivation Program: Tunnel Geothermal Disaster Susceptibility Evaluation in Sichuan-Tibet Railway Based on Deep Learning

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2261901

Reference54 articles.

1. SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network

2. Cascade R-CNN: Delving Into High Quality Object Detection

3. VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results

4. Hyperspectral Remote Sensing Inversion and Monitoring of Organic Matter in Black Soil Based on Dynamic Fitness Inertia Weight Particle Swarm Optimization Neural Network

5. Automatic Extraction of Urban Impervious Surface Based on SAH-Unet

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