Satellite–Terrestrial Collaborative Object Detection via Task-Inspired Framework-Reference-Cited by-同舟云学术

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Satellite–Terrestrial Collaborative Object Detection via Task-Inspired Framework

Published:2023-12-01 Issue:23 Volume:10 Page:20528-20544
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Lu Anqi¹^ORCID,Cheng Yun²^ORCID,Hu Youbing¹^ORCID,Cao Zhiqiang¹^ORCID,Chen Yongrui³^ORCID,Li Zhijun¹

Affiliation:

1. Faculty of Computing, Harbin Institute of Technology, Harbin, China

2. Computer Engineering and Networks Laboratory, ETH Zurich, Zurich, Switzerland

3. Faculty of Electrical, Electronic and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

Funder

NSFC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10323344/10158354.pdf?arnumber=10158354

Reference71 articles.

1. Orientation robust object detection in aerial images using deep convolutional neural network

2. Remote sensing applications: An overview;navalgund;Current Sci,2007

3. Learning Spatial Context: Using Stuff to Find Things

4. Object detection in optical remote sensing images: A survey and a new benchmark

5. Lifetime and Access Point Determination of a LEO Ecuadorian Satellite Using the STK Software

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