Sudhanshu Shekhar Jha

Employment

• Indian Institute of Science Bangalore INSPIRE faculty
  2023 - Present
• Universität Leipzig Research Assistant
  2022 - 2023

Education

• Indian Institute of Space Science and Technology Ph.D.
  2016 - 2021
• Birla Institute of Technology M.Tech
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Military Target Detection by Integrated Spectral Design and Radiative Transfer Modeling
  IEEE Geoscience and Remote Sensing Letters 2026 DOI: 10.1109/LGRS.2026.3657664
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• Precision crop mapping: within plant canopy discrimination of crop and soil using multi-sensor hyperspectral imagery
  Scientific Reports 2024 DOI: 10.1038/s41598-024-75394-1
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• In-situ and airborne hyperspectral data for detecting agricultural activities in a dense forest landscape
  Data in Brief 2023 DOI: 10.1016/j.dib.2023.109510
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• Benchmark studies on pixel-level spectral unmixing of multi-resolution hyperspectral imagery
  International Journal of Remote Sensing 2022 DOI: 10.1080/01431161.2022.2040755
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• Multi-resolution terrestrial hyperspectral dataset for spectral unmixing problems
  Data in Brief 2022 DOI: 10.1016/j.dib.2022.108331
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• Target detection in hyperspectral imagery using atmospheric-spectral modelling and deep learning
  IEEE Geoscience and Remote Sensing Letters 2022 DOI: 10.1109/LGRS.2022.3215576
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• Influence of atmospheric modeling on spectral target detection through forward modeling approach in multi-platform remote sensing data
  ISPRS Journal of Photogrammetry and Remote Sensing 2021 DOI: 10.1016/j.isprsjprs.2021.11.011
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• Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data
  Remote Sensing 2020 DOI: 10.3390/rs12132145
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• Dynamics of Target Detection Using Drone Based Hyperspectral Imagery
  Lecture Notes in Civil Engineering 2020 DOI: 10.1007/978-3-030-37393-1_10
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• Multi-platform optical remote sensing dataset for target detection
  Data in Brief 2020 DOI: 10.1016/j.dib.2020.106362
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