Research impact and scholarly contributions

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Publications

Selected journal publications

2024

CERMF-Net: A SAR-Optical Feature Fusion for Cloud Elimination From Sentinel-2 Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

J. Anandakrishnan, V. Meenakshi Sundaram, P. Panneer

Q1
2024

Assessment of Land Use and Land Cover Change Detection Using Deep Learning Techniques

Environmental Monitoring and Assessment, Springer Nature

Authors including V. Meenakshi Sundaram

Q2
2022

Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification

Remote Sensing (MDPI), Vol. 14, No. 20, Article 5232

N.N. Naik, K. Chandrasekaran, A. Stateczny, V. Meenakshi Sundaram, P. Panneer

Q1
2021

V3O2: Hybrid Deep Learning Model for Hyperspectral Image Classification

Journal of Real Time Image Processing, Vol. 18, No. 5, pp. 1681-1695

A. Mohan, V. Meenakshi Sundaram

Q2
2015

A Delaunay Diagram-based Min-Max CP-Tree Algorithm for Spatial Data Analysis

WIREs Data Mining and Knowledge Discovery, Vol. 5, No. 3, pp. 142-154

V. Meenakshi Sundaram, A. Thangavelu

Q1
2013

A Multiple Window based Co-location Pattern Mining Approach for Spatial Data

International Journal of Computer Application in Technology, Vol. 48, No. 2, pp. 144-154

M. Venkatesan, A. Thangavelu

Inderscience

Selected conference presentations

2023

MSDF-Net: A Multi-Scale Deep Fusion Network with Dilated Convolutions for Cloud Removal from Sentinel-2 Imagery

APSIPA ASC 2023, pp. 63-70

A. Jayakrishnan, V. Meenakshi Sundaram, P. Panneer, A. Mohan

International

Authored book publications

Interested in Collaboration?

Open to research collaborations and co-authoring publications in AI, machine learning, and remote sensing domains.