Pattathal V. Arun

Int. J. Appl. Earth Obs. Geoinformation, 2024

Open-Set Identification of Minerals From CRISM Hyperspectral Data.

[BibT_eX]

[DOI]

Proceedings of the IGARSS 2024, 2024

2023

Modelling Spectral Unmixing of Geological Mixtures: An Experimental Study Using Rock Samples.

[BibT_eX]

[DOI]

Remote. Sens., July, 2023

Spectral Unmixing in Generative Space: 3D-GAN Based Approach.

[BibT_eX]

[DOI]

Soorya Suresh

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

Modeling Spectral Mixing for Geological Mixtures: Detecting Nonlinearly Mixed Pixels in Hyperspectral Image of Banded Hematite Quartzite.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Graph Neural Network Based Interpretable Spectral Unmixing for Hyperspectral Unmixing Hyperspectral IIRS Data Onboard Chandrayaan-2 Mission.

[BibT_eX]

[DOI]

Maitreya Mohan Sahoo

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Augmentation of Vegetation Index Curves Considering the Crop-Specific Phenological Characteristics.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Learning of physically significant features from earth observation data: an illustration for crop classification and irrigation scheme detection.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Multimodal Earth observation data fusion: Graph-based approach in shared latent space.

[BibT_eX]

[DOI]

Ran Nisim Lati

Pablo J. Zarco-Tejada

Zvi Peleg

Ittai Herrmann

Inf. Fusion, 2022

Deep feature learning and latent space encoding for crop phenology analysis.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

2021

Deep Learning-Based Phenological Event Modeling for Classification of Crops.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Support Vector Machines for Unmixing Geological Mixtures.

[BibT_eX]

[DOI]

Maitreya Mohan Sahoo

Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

2020

CNN-Based Super-Resolution of Hyperspectral Images.

[BibT_eX]

[DOI]

Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2020

CNN based spectral super-resolution of remote sensing images.

[BibT_eX]

[DOI]

Jocelyn Chanussot

Signal Process., 2020

2019

Capsulenet-Based Spatial-Spectral Classifier for Hyperspectral Images.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Convolutional network architectures for super-resolution/sub-pixel mapping of drone-derived images.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Spatial-spectral feature based approach towards convolutional sparse coding of hyperspectral images.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2019

2018

Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2018

CNN based sub-pixel mapping for hyperspectral images.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Analysis of capsulenets towards hyperspectral classification.

[BibT_eX]

[DOI]

Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Inversion of Deep Networks for Modelling Variations in Spatial Distributions of Land Cover Classes Across Scales.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016

Integration of contextual knowledge in unsupervised sub-pixel classification.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

A deep learning based spatial dependency modelling approach towards super-resolution.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Classification and clustering perspective towards spectral unmxing.

[BibT_eX]

[DOI]