DETR-DC5 Approaches for Improved Spatial Object Detection in Satellite Imagery-Reference-Cited by-同舟云学术

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DETR-DC5 Approaches for Improved Spatial Object Detection in Satellite Imagery

Published:2023-12-14 Issue: Volume:8 Page:1-5
ISSN:
Container-title:2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)
language:
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Author:

Baskar Radhika¹,Dwibedi Rajat Kumar²,Kumbhkar Makhan³,Sah Swati⁴,Patil Harshal⁵,A Firos⁶

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Chennai,India

2. Aarupadai Veedu Institute of Technology, VMRF,Chennai,India

3. Indian Institute of Soybean Research,Department of Computer Application,Indore,India

4. School of SET, Sharda university,Greater Noida,India

5. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Computer Science and Engineering,Pune,India

6. Rajiv Gandhi University (A Central University) Rono-Hills,Department of computer Science and Engineering,Doimukh,Arunachal Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447018/10448515/10448599.pdf?arnumber=10448599

Reference15 articles.

1. Edge-based Video Analytic for Smart Cities

2. Feature extraction based hybrid classifier for classifying remote sensing images;Praneesh;Int. J. Recent Technol. Eng.,2019

3. Multi-Objective Optimization of Milling Parameters for Machining Cast Iron on Machining Centre;Prasad;Res. J. Eng. Sci. ISSN Res. J. Eng. Sci,2013

4. Real-Time Plant Health Detection Using Deep Convolutional Neural Networks

5. Foreground Detection Based on Superpixel and Semantic Segmentation

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