Object Detection in High resolution using Satellite Imagery with Deep Learning

Authors

  • Niharika Goswami  U.G. Scholar, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Keyurkumar Kathiriya  U.G. Scholar, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Santosh Yadav  U.G. Scholar, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Janki Bhatt  U.G. Scholar, Sigma Institute of Engineering, Vadodara, Gujarat, India
  • Dr. Sheshang Degadwala  Associate Professor, Sigma Institute of Engineering, Vadodara, Gujarat, India

DOI:

https://doi.org/10.32628/IJSRSET218258

Keywords:

Satellite Image, Single Shot Detector, You Only Look Once (YOLO), Conditional Random Fields (CRF) and Fully Convolutional Networks (FCN)

Abstract

Earlier, the progression of the descending lung was the primary driver of the chaos that runs across the world between the two people, with more than a million people dies per year goes by. The cellular breakdown in the lungs has been greatly transferred to the inconvenience that people have looked at for a very predictable amount of time. When an entity suffers a lung injury, they have erratic cells that clump together to form a cyst. A dangerous tumor is a social affair involving terrifying, enhanced cells that can interfere with and strike tissue near them. The area of lung injury in the onset period became necessary. As of now, various systems that undergo a preparedness profile and basic learning methodologies are used for lung risk imaging. For this, CT canal images are used to see and save the adverse lung improvement season from these handles. In this paper, we present an unambiguous method for seeing lung patients in a painful stage. We have considered the shape and surface features of CT channel pictures for the sales. The perspective is done using undeniable learning methodologies and took a gender at their outcome.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2021-04-30

Issue

Volume 8, Issue 2, November-December-2021

Section

Research Articles

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How to Cite

[1]
Niharika Goswami, Keyurkumar Kathiriya, Santosh Yadav, Janki Bhatt, Dr. Sheshang Degadwala "Object Detection in High resolution using Satellite Imagery with Deep Learning" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 2, pp.208-215, November-December-2021. Available at doi : https://doi.org/10.32628/IJSRSET218258