Authors :
Tanishq Yadav; Cherish Jaiswal
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/3tej3bdb
Scribd :
https://tinyurl.com/28yusy44
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR1895
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Powerful remote sensing tools like Synthetic
Aperture Radar (SAR) can detect targets and classify
land cover, as well as give useful data for monitoring
disasters and other uses. Different Deep Learning
processes have made a remarkable changes in the past
few years, in terms of precisionand effectiveness of SAR
picture classification. To improve the precision and
dependability of SAR picture interpretation, this
research paper presents a thorough investigation of SAR
image categorization utilising deep learning techniques,
such as convolutional neural networks (CNNs) and
recurrent models. We review the state of the art now,
suggest a fresh approach, and indicate potential future
research possibilities. Our findings show that deep
learning is excellent at classifying SAR images, laying
the groundwork for more advanced remote sensing
applications.
Keywords :
SAR, Deep Learning(DL), CNN.
Powerful remote sensing tools like Synthetic
Aperture Radar (SAR) can detect targets and classify
land cover, as well as give useful data for monitoring
disasters and other uses. Different Deep Learning
processes have made a remarkable changes in the past
few years, in terms of precisionand effectiveness of SAR
picture classification. To improve the precision and
dependability of SAR picture interpretation, this
research paper presents a thorough investigation of SAR
image categorization utilising deep learning techniques,
such as convolutional neural networks (CNNs) and
recurrent models. We review the state of the art now,
suggest a fresh approach, and indicate potential future
research possibilities. Our findings show that deep
learning is excellent at classifying SAR images, laying
the groundwork for more advanced remote sensing
applications.
Keywords :
SAR, Deep Learning(DL), CNN.
