Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  SAR IMAGE CLASSIFICATION USING DEEP LEARNING
PaperId: :  22796
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22796
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Likhitha Bhavya BillalaVasireddy Venkatadri Institute of Technology
Lakshmi Gayathri GudipatiVasireddy Venkatadri Institute of Technology
Sri Vidya BhemineniVasireddy Venkatadri Institute of Technology
Lakshmi Prasanna BellamkondaVasireddy Venkatadri Institute of Technology
Dr. Y. Mallikarjuna ReddyVasireddy Venkatadri Institute of Technology

Abstract

Electronics And Communication Engineering
GAN-Generative Adversarial Network, CNN-Convolution Neural Network, DL-Deep Learning, MSTAR dataset, Keras, TensorFlow.
This paper tackles the complex problems of low contrast and speckle noise in synthetic aperture radar (SAR) image categorization. We suggest a unique method that makes use of Generative Adversarial Networks (GANs) to create synthetic SAR images for training deep learning (DL) models, namely Convolutional Neural Networks (CNNs), by utilizing the power of DL. The CNN performs better when it comes to classifying SAR photos because the GAN is trained to produce a variety of synthetic images for various classifications. Using the MSTAR dataset, a thorough analysis shows an astounding 98.5% accuracy, proving the state-of-the-art status of our method. This shows that GANs may be used to enhance DL models in an efficient manner, opening the door to useful SAR image categorization systems that have a great deal of potential for real-world use. The frameworks TensorFlow and Keras are used in the implementation.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy. "SAR IMAGE CLASSIFICATION USING DEEP LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 736-742
MLA Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy. "SAR IMAGE CLASSIFICATION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 736-742.
APA Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, & Dr. Y. Mallikarjuna Reddy. (2024). SAR IMAGE CLASSIFICATION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 736-742.
Chicago Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy. "SAR IMAGE CLASSIFICATION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 736-742.
Oxford Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy. 'SAR IMAGE CLASSIFICATION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 736-742. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/SAR_IMAGE_CLASSIFICATION_USING_DEEP_LEARNING_ijariie22796.pdf (Accessed : ).
Harvard Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy. (2024) 'SAR IMAGE CLASSIFICATION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 736-742IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/SAR_IMAGE_CLASSIFICATION_USING_DEEP_LEARNING_ijariie22796.pdf (Accessed : )
IEEE Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy, "SAR IMAGE CLASSIFICATION USING DEEP LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 736-742, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/SAR_IMAGE_CLASSIFICATION_USING_DEEP_LEARNING_ijariie22796.pdf [Accessed : ].
Turabian Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy. "SAR IMAGE CLASSIFICATION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Likhitha Bhavya Billala, Lakshmi Gayathri Gudipati, Sri Vidya Bhemineni, Lakshmi Prasanna Bellamkonda, and Dr. Y. Mallikarjuna Reddy. SAR IMAGE CLASSIFICATION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 736-742. Available from: http://ijariie.com/AdminUploadPdf/SAR_IMAGE_CLASSIFICATION_USING_DEEP_LEARNING_ijariie22796.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DESIGN OF A CONTROL SYSTEM FOR STABILIZING WATER SUPPLY PRESSUREElectronics and CommunicationDương Quynh Nhat Download
Application of CC-Link Industrial Communication Network in Controlling a Single-Zone Fruit DryerTechnologyNguyen Thi Linh Download
Implementation of Solar Based Irrigation Systems for Optimizing Agricultural EfficiencyElectronic and Telecommunication EngineeringPrajwal Aniruddha Deshpande Download
A CLOUD BAESD TRAFFIC MANAGEMENT SYSTEMELECTRONICS & TELECOMMUNICATION ENGINEERINGRUSHIKESH SAWANT Download
Performance Evaluation of a Robotic Child Rescue System for Borewell ApplicationsElectronics and telecommunication engineeringRohan Tathe Download
IoT Based Bank Security SystemE&TC EngineeringAjay Mishra Download
A Secure and Efficient Voice-Controlled Home Automation System Using ESP32 and Web APIsElectronics and telecommunication EngineeringPrathmesh Mane Download
A smart vehicle for farming taskElectronics and TelecommunicationChaitali Panduramg Kankate Download
SOLAR WIRELESS ELECTRIC VEHICLE USING CHARGING SYSTEMElectronic and communication Hima J Download
Literature Review on Fibre Bragg Grating Sensors: Principles, Fabrication Techniques, Applications, and Future ProspectsElectronics and Communication Engineering Yashaswini D Download
Literature Survey on Smart Optical Fiber based Respiratory Monitoring systemElectronics and communication engineering Sai Priyanka A M Download
An loT Based Novel Approach to Health Emergency Management Through Real-Time Data Acquisition and AnalysisHealth sectorDr Siddesh G K Download
DESIGN AND DEVELOPMENT OF RIVER SURFACE CLEANING ROBOT USING IOTElectronics and communication engineeringBALAJI B R Download
A Solar Powered Wireless Power Transfer for Electric Vehicle (EV) ChargingElectronics and Communication EngineeringDr. Siddesh G K Download
AI-XRAY: AUTOMATED LUNG CANCER AND PNEUMONIA DETECTIONElectronics and communication engineeringYASHASWINI H M Download
12