Publications
“Shadow-aware nonlinear spectral unmixing for hyperspectral imagery”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5514-5533, 2022.
shadow-aware_nonlinear_spectral_unmixing_for_hyperspectral_imagery.pdf (9.51 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Sparse unmixing using deep convolutional networks”, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
, “Sparse Unmixing using Deep Convolutional Networks”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 24-27.
suncnn_igarss2022.pdf (1.03 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 15, pp. 284-296, 2022.
mdc_jstars-final_version.pdf (6.53 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Boosting Hyperspectral Image Unmixing using Denoising: Four Scenarios”, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
, “BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS”, in IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021.
, “Destriping Hyperspectral Imagery By Adaptive Anisotropic Total Variation And Truncated Nuclear Norm”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021.
, “Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition”, Remote Sensing, vol. 13, no. 2930, 2021.
remotesensing-13-02930.pdf (3.79 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 2, pp. 1516-1533, 2021.
tgrs_2020.pdf (5.71 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“A Multi-Sensor Subspace-Based Clustering Algorithm Using RGB and Hyperspectral Data”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021.
, “Robust supervised method for nonlinear spectral unmixing accounting for endmember variability”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7434-7448, 2021.
ieee_version.pdf (3.76 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Spectral Unmixing Using Deep Convolutional Encoder-Decoder”, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
, “Spectral Unmixing Using Deep Convolutional Encoder-Decoder”, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 3829-3832.
igarss2021.pdf (659.27 KB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“UnDIP: hyperspectral unmixing using deep image prior”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2021.
manuscript.pdf (13 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“When is the right time to apply denoising?”, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
, “Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm”, Remote Sensing, vol. 12 (23), no. 4007, 2020.
remotesensing-12-04007-v2.pdf (21.88 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“How Hyperspectral Image Unmixing and Denoising Can Boost Each Other”, Remote Sensing, vol. 12, no. 1728, 2020.
remotesensing-12-01728.pdf (2.27 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“A Machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements”, IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 10, pp. 7393-7405, 2020.
final_version_leaf_parameter_estimation.pdf (2.66 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform”, Computers and Electronics in Agriculture, vol. 162, pp. 749-758, 2019.
shahrimie_2019.pdf (3.12 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields”, Remote Sensing, vol. 11, 2019.
remotesensing-11-00624.pdf (1.5 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Fractional abundance estimation of mixed and compound materials by hyperspectral imaging.”, in 10th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), Sept 2019, Amsterdam, Netherlands, 2019, pp. pp. 1-5.
fractional_abundance_estimation_of_mixed_and_compound_materials_by_hyperspectral_imaging.pdf (742.67 KB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“Nonlinear hyperspectral unmixing with graphical models”, IEEE Transaction on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4844-4856, 2019.
published.pdf (3.15 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“A semi-supervised method for Nonlinear Hyperspectral Unmixing”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, 2019, pp. pp. 361-364.
bikram_koirala_igarss2019.pdf (325.58 KB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
“A spectral mixing model accounting for multiple reflections and shadow”, in IGARSS 2019, International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 286-289.
, “A supervised method for nonlinear hyperspectral unmixing”, Remote Sensing, vol. 11, no. 20 , 2019.
remotesensing-11-02458-v3.pdf (3.23 MB)
, ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)