Mr. Anand S. Sahadevan Profile

Anand S. Sahadevan

Scientist at Space Applications Ctr

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Author

Publications (4)

SPIE Journal Paper | 7 August 2023

Multi-task hybrid spectral–spatial temporal convolution networks for classification of agricultural crop types and growth stages using drone-borne hyperspectral and multispectral images

Bharathi Chaudhury, Anand Sahadevan, Pabitra Mitra

JARS, Vol. 17, Issue 03, 038503, (August 2023) https://doi.org/10.1117/12.10.1117/1.JRS.17.038503

KEYWORDS: Convolution, Image classification, Machine learning, Phenology, Feature extraction, Data modeling, Education and training, Crop monitoring, Agriculture, Neurons

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SPIE Journal Paper | 23 June 2022

Robust generalized bilinear model with weighted low-rank representation for hyperspectral image unmixing

Touseef Ahmad, Soumyendu Raha, Rosly Lyngdoh, Anand Sahadevan, Praveen Gupta, Arundhati Misra

JARS, Vol. 16, Issue 02, 024524, (June 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.024524

KEYWORDS: Signal to noise ratio, Hyperspectral imaging, Computer simulations, Mathematical modeling, Performance modeling, Data modeling, Visualization, Hyperspectral simulation, Fluctuations and noise, Tolerancing

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SPIE Journal Paper | 1 December 2020

Four-directional spatial regularization for sparse hyperspectral unmixing

Touseef Ahmad, Rosly Boy Lyngdoh, Anand Sahadevan, Soumyendu Raha, Praveen Gupta, Arundhati Misra

JARS, Vol. 14, Issue 04, 046511, (December 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.046511

KEYWORDS: Signal to noise ratio, Computer simulations, Minerals, Calcite, Hyperspectral simulation, Hyperspectral imaging, Convolution, Numerical simulations, Sensors, Image sensors

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SPIE Journal Paper | 18 April 2016

Hyperspectral image preprocessing with bilateral filter for improving the classification accuracy of support vector machines

Anand Sahadevan, Aurobinda Routray, Bhabani Das, Saquib Ahmad

JARS, Vol. 10, Issue 02, 025004, (April 2016) https://doi.org/10.1117/12.10.1117/1.JRS.10.025004

KEYWORDS: Feature extraction, Image classification, Image filtering, Hyperspectral imaging, Signal to noise ratio, Optical filters, Reflectivity, Gaussian filters, Sensors, Nonlinear filtering

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