Buddepu Santhosh Kumar

Employment

• VIT-AP University Assistant Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• From pixels to text: A deep learning survey of scene text detection and recognition
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2026.111139
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• MARIS-Net: A multi-scale attention-guided and contour-refined framework for precise ship detection in SAR imagery
  Measurement 2026 DOI: 10.1016/j.measurement.2025.119918
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• Enhancing subsurface exploration: A comprehensive review of advanced clutter removal techniques for ground penetrating radar imaging
  Measurement 2025 DOI: 10.1016/j.measurement.2024.115432
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• A Deep Learning Assisted Mean-Enabled Laplacian U-Net for Clutter Removal in Complex GPR Images With Reduced Computational Load
  IEEE Transactions on Radar Systems 2025 DOI: 10.1109/TRS.2025.3591065
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• Spatial Attention-Based Convoluted Gazelle Neural Network (SACGNN): Advanced Clutter Removal Across Diverse Surfaces
  IEEE Transactions on Geoscience and Remote Sensing 2025 DOI: 10.1109/TGRS.2025.3634200
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• Development of Intelligence Software for GPR Investigation of Buried Object
  2024 IEEE Space, Aerospace and Defence Conference, SPACE 2024 2024 DOI: 10.1109/SPACE63117.2024.10667791
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• Integrated Feature Investigation and Classification Methods for Discrimination of Subsurface Objects in GPR Imagery
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2024.3368749
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• Clutter and Random Noise Elimination Based on Eigen Images and Curvelet Transform
  3rd International Conference on Range Technology, ICORT 2023 2023 DOI: 10.1109/ICORT56052.2023.10249176
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• A Practical GPR Imaging Scheme for Buried Objects
  2021 IEEE MTT-S International Microwave and RF Conference, IMARC 2021 2021 DOI: 10.1109/IMaRC49196.2021.9714681
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• Removal of Clutter and Random Noise for GPR Images
  Proceedings of the 2021 IEEE 18th India Council International Conference, INDICON 2021 2021 DOI: 10.1109/INDICON52576.2021.9691520
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