Pritish Naik

Väitöskirjatutkija

Yksikkö

Informaatioteknologian tiedekunta

Huonenumero

Ag C414.2

Sähköposti

pritish.u.naik@jyu.fi

Matkapuhelin

+358504674054

Postiosoite

Mattilanniemi 2

Julkaisut

Julkaisu

2026

Graph Attention Networks for Collective Water Body Type Classification to Complement Optical Water Types

IEEE International Geoscience and Remote Sensing Symposium. IEEE International geoscience and remote sensing symposium proceedings. Institute of Electrical and Electronics Engineers.

Naik, Pritish

Alief, Revin Naufal

Salmi, Pauliina

Raita, Anna-Maria

Pölönen, Ilkka

Julkaisu

2026

Water Quality Estimation Using Enmap Satellite Data for Loch Leven

Workshop on Hyperspectral Imaging and Signal Processing. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. IEEE.

Naik, Pritish

Salmi, Pauliina

Calderini, Marco

Hunter, Peter

Lind, Leevi

May, Linda

McKenzie, Rebecca

Olszewska, Justyna

Pölönen, Ilkka

Julkaisu

2025

Blind and endmember guided autoencoder model for unmixing the absorbance spectra of phytoplankton pigments

Scientific Reports.

Naik, Pritish

Pölönen, Ilkka

Salmi, Pauliina

Julkaisu

2025

Detecting cyanobacterial blooms in boreal lakes with Sentinel-2 multispectral and EnMAP hyperspectral satellites

Winter Satellite Workshop.

Naik, Pritish

Pölönen, Ilkka

Asikainen, Harri

Ketola, Mirva

Malin, Ismo

Taipale, Sami

Vesterinen, Jussi

Yli-Tuomola, Aliisa

Salmi, Pauliina

Julkaisu

2025

EnMAP and PRISMA hyperspectral satellite campaign on Scottish inland waters 2024

Winter Satellite Workshop.

Salmi, Pauliina

Naik, Pritish

Beckmann, Daniel Atton

Jiang, Dalin

May, Linda

McKenzie, Rebecca

Olszewska, Justyna

Pölönen, Ilkka

Hunter, Peter

Julkaisu

2024

A Computational Approach to Bio-optical Functional Group Classification of Phytoplankton in Inland Waters

Winter Satellite Workshop.

Naik, Pritish

Pölönen, Ilkka

Salmi, Pauliina

Julkaisu

2024

A New Version of an Endmember-Guided Autoencoder (EGAE-V2) with Improved Architecture and Regularization by Correlation Between Ground Truths and Latent Activations

Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing. IEEE.

Naik, Pritish

Pölönen, Ilkka

Salmi, Pauliina

Pritish Naik

Julkaisut

Graph Attention Networks for Collective Water Body Type Classification to Complement Optical Water Types

Water Quality Estimation Using Enmap Satellite Data for Loch Leven

Blind and endmember guided autoencoder model for unmixing the absorbance spectra of phytoplankton pigments

Detecting cyanobacterial blooms in boreal lakes with Sentinel-2 multispectral and EnMAP hyperspectral satellites

EnMAP and PRISMA hyperspectral satellite campaign on Scottish inland waters 2024

A Computational Approach to Bio-optical Functional Group Classification of Phytoplankton in Inland Waters

A New Version of an Endmember-Guided Autoencoder (EGAE-V2) with Improved Architecture and Regularization by Correlation Between Ground Truths and Latent Activations

CoDAI Laskennallinen data-analyysi ja kuvantaminen

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