يعرض 1 - 10 نتائج من 105 نتيجة بحث عن '"Baisantry, A"', وقت الاستعلام: 1.18s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Discriminative Spectral–Spatial Feature Extraction-Based Band Selection for Hyperspectral Image Classification

    المؤلفون: Baisantry, M., Sao, A.K., Shukla, D.P.

    المصدر: IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 60:1-14 2022

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  2. 2
    مؤتمر
    Band Selection Using Segmented Pca And Component Loadings For Hyperspectral Image Classification

    المؤلفون: Baisantry, Munmun, Sao, Anil K

    المصدر: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 IEEE International. :3812-3815 Jul, 2019

    Relation: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

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  3. 3
    دورية أكاديمية
    Band Selection Using Combined Divergence–Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification

    المؤلفون: Baisantry, M., Sao, A.K., Shukla, D.P.

    المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of. 13:5011-5026 2020

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  4. 4
    كتاب إلكتروني
    Doubly Cursed : दोहरा अभिशाप

    المؤلفون: Baisantry, Kausalya, author

    المصدر: Concealing Caste : Narratives of Passing and Personhood in Dalit Literature, 2023.

    الإتاحة: https://doi.org/10.1093/oso/9780192865243.003.0014

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  5. 5
    مؤتمر
    Two-Level Feature Extraction Framework for Hyperspectral Image Classification

    المؤلفون: Baisantry, Munmun, Sao, Anil K, Shukla, Dericks P

    المصدر: 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2018 9th Workshop on. :1-5 Sep, 2018

    Relation: 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)

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  6. 6
    مؤتمر
    Removal of ladder effects by smoothening the integer format elevation layer via development of a QGIS plugin

    المؤلفون: Baisantry, Munmun, Saxena, Vivek

    المصدر: 2016 International Conference on Computing, Communication and Automation (ICCCA) Computing, Communication and Automation (ICCCA), 2016 International Conference on. :1054-1058 Apr, 2016

    Relation: 2016 International Conference on Computing, Communication and Automation (ICCCA)

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  7. 7
    مؤتمر
    Object-based image fusion for minimization of color distortion in high-resolution satellite imagery

    المؤلفون: Baisantry, Munmun, Negi, D.S., Manocha, O.P., Pratap Singh, Bhanu, Kishore, Sandeep

    المصدر: 2011 International Conference on Image Information Processing Image Information Processing (ICIIP), 2011 International Conference on. :1-6 Nov, 2011

    Relation: 2011 IEEE International Conference on Image Information Processing (ICIIP)

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  8. 8
    دورية أكاديمية
    Automatic extraction and analysis of lineament features using ASTER and Sentinel 1 SAR data

    المؤلفون: Dhara, MrinmoyAff1, IDs1204002201851y_cor1, Baisantry, Munmun, Prusty, G

    المصدر: Journal of Earth System Science: Published by the Indian Academy of Sciences. 131(2)

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  9. 9
    دورية أكاديمية
    Two-Level Band Selection Framework for Hyperspectral Image Classification

    المؤلفون: Baisantry, MunmunAff1, Sao, Anil Kumar, Shukla, Dericks Praise

    المصدر: Journal of the Indian Society of Remote Sensing. 49(4):843-856

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  10. 10
    دورية أكاديمية
    Band Selection Using Combined Divergence–Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification

    المؤلفون: Munmun Baisantry, Anil Kumar Sao, Dericks Praise Shukla

    المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5011-5026 (2020)

    مصطلحات موضوعية: Band clustering, band ranking, band selection, combined divergence–correlation index (CDCI), component loadings, principal component analysis (PCA), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

    وصف الملف: electronic resource

    Relation: https://ieeexplore.ieee.org/document/9160877/; https://doaj.org/toc/2151-1535

    URL الوصول: https://doaj.org/article/8303a9651b334def88e91df2764d072e

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