Mahendra K. Pal

Orcid: 0000-0002-7271-9570

According to our database1, Mahendra K. Pal authored at least 9 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Rapid Evaluation and Validation Method of Above Ground Forest Biomass Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India.
ISPRS Int. J. Geo Inf., 2021

2020
Optimized Lithological Mapping from Multispectral and Hyperspectral Remote Sensing Images Using Fused Multi-Classifiers.
Remote. Sens., 2020

Surficial Iron Mineral Potential Mapping from Aster Data in Malmberget and Adjoining Area in Norrbotten County Sweden.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

An Approach for Fraction of Vegetation Cover Estimation in Forest Above-Ground Biomass Assessment Using Sentinel-2 Images.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

2019
Multiple Multi-Spectral Remote Sensing Data Fusion and Integration for Geological Mapping.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

2017
Topographic correction using brightness normalization approach from hyperspectral remote sensing images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Optimizing classification using multi-classifiers for spaceborne hyperspectral dataset.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Vegetation suppression for unveiling of surface lithology from Hyperspectral images using linear spectral unmixing approach.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Destriping of Hyperion images using low-pass-filter and local-brightness-normalization.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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