RUPALI SURASE

Employment

Employment history is unavailable.

Education

• Dept of CS & IT, DR. B.A.M.U. Research Fellow
  2014 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• Assessment of EO-1 hyperion imagery for crop discrimination using spectral analysis
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-1906-8_52
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• Comparative Study and Analysis of Dimensionality Reduction Techniques for Hyperspectral Data
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-9181-1_47
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• Crop Discrimination Based on Reflectance Spectroscopy Using Spectral Vegetation Indices (SVI)
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-9187-3_27
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• Digital Assessment of Spatial Distribution of the Surface Soil Types Using Spatial (Texture) Features with MLC and SVM Approaches
  Lecture Notes in Networks and Systems 2019 DOI: 10.1007/978-981-13-1217-5_74
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• Drought severity identification and classification of the land pattern using landsat 8 data based on spectral indices and maximum likelihood algorithm
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-1906-8_53
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• Estimation of water contents from vegetation using hyperspectral indices
  Lecture Notes in Electrical Engineering 2019 DOI: 10.1007/978-981-13-1906-8_26
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• Hyperspectral Remote Sensing Image Analysis with SMACC and PPI Algorithms for Endmember Extraction
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-9181-1_28
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• Identification and Classification of Water Stressed Crops Using Hyperspectral Data: A Case Study of Paithan Tehsil
  Lecture Notes in Networks and Systems 2019 DOI: 10.1007/978-981-13-1217-5_89
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• Impact of Dimensionality Reduction Techniques on Endmember Identification in Hyperspectral Imagery
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-9187-3_44
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• Recent Advances and Challenges in Automatic Hyperspectral Endmember Extraction
  Lecture Notes in Networks and Systems 2019 DOI: 10.1007/978-981-13-1217-5_44
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