S
Sanjay Ghosh
Researcher at Indian Institute of Technology Roorkee
Publications - 209
Citations - 3999
Sanjay Ghosh is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Bilateral filter & Normalized Difference Vegetation Index. The author has an hindex of 30, co-authored 196 publications receiving 3079 citations. Previous affiliations of Sanjay Ghosh include Indian Institutes of Technology & University of Cambridge.
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In Vitro Renaturation of Alkaline Family G/11 Xylanase via a Folding Intermediate: α-Crystallin Facilitates Refolding in an ATP-Independent Manner
Tanmay Dutta,Tanmay Dutta,Arindam Bhattacharjee,Uddalak Majumdar,Saugata Sinha Ray,Rupam Sahoo,Sanjay Ghosh +6 more
TL;DR: Results, based on intrinsic tryptophan fluorescence and hydrophobic fluorophore 8-anilino-1- naphthalene sulfonate-binding studies, suggest that α-crystallin formed a complex with a putative molten globule-like intermediate in the refolding pathway of xylanase in an ATP-independent manner.
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Fractional Cover Mapping of Invasive Plant Species by Combining Very High-Resolution Stereo and Multi-Sensor Multispectral Imageries
TL;DR: This study revealed the high potential of combining small extent VHR and VHRSI- derived 3D optical data with larger extent, freely available satellite data for identification and mapping of invasive species in mountainous forests and remote regions.
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Steady State and Transient Gain Characteristics of the Stimulated Brillouin Scattered Mode in Quantum Semiconductor Plasmas
TL;DR: In this paper, the steady state and transient gain characteristics of the stimulated Brillouin scattered mode in semiconductor plasmas have been studied using the quantum hydrodynamical model.
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High resolution temporal normalized difference vegetation indices for specific crop identification
TL;DR: In this article, a high resolution WorldView-2 image having spatial resolution of 1.84 meter has been used for identifying wheat crop for a test site located in Roorkee, India.
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Comparison of Fusion Techniques for Very High Resolution Data for Extraction of Urban Land-Cover
TL;DR: In this article, a thorough comparison of pan sharpening techniques, belonging to spatial, spectral, scale-space and spatial-frequency domain, for very high-resolution satellite data is presented, where Pan-sharpening techniques namely, Hue-Saturation Intensity, Brovey Transform, Principal Components Analysis, Discrete Wavelet Transform, Stationary Wavelet transform, Non Sub-sampled contourlet Transform and Pseudo Wigner Distribution (PWD) fusion method have been selected for the fusion of PAN and MS images of World View-2 sensor.