ESRTMDet: An End-to-End Super-Resolution Enhanced Real-Time Rotated Object Detector for Degraded Aerial Images-Reference-Cited by-同舟云学术

ESRTMDet: An End-to-End Super-Resolution Enhanced Real-Time Rotated Object Detector for Degraded Aerial Images

Published:2023 Issue: Volume:16 Page:4983-4998
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liu Fei¹^ORCID,Chen Renwen¹^ORCID,Zhang Junyi¹^ORCID,Ding Shanshan¹^ORCID,Liu Hao¹^ORCID,Ma Shaofei¹^ORCID,Xing Kailing²^ORCID

Affiliation:

1. State Key Laboratory of Mechanics and Control for Aerospace Structures, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Hardware Development Department IV, Wired Product R&D Institute, System Product Wired Product Operation Division, ZTE Corporation, Nanjing, China

Funder

National Natural Science Foundation of China

Interdisciplinary Innovation Fund for Doctoral Students of Nanjing University of Aeronautics and Astronautics

Advantage Discipline Construction Project Funding of University in Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10130374.pdf?arnumber=10130374

Reference64 articles.

1. Robust Semantic Segmentation By Dense Fusion Network On Blurred VHR Remote Sensing Images

2. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

3. Research on relationship between remote sensing image quality and performance of interest point detection

4. CSPNet: A New Backbone that can Enhance Learning Capability of CNN

5. YOLOSR-IST: A deep learning method for small target detection in infrared remote sensing images based on super-resolution and YOLO

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