Publications
] , “A NEURAL NETWORK METHOD FOR NONLINEAR HYPERSPECTRAL UNMIXING”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018, pp. pp. 4233-4236.
a_nn_method_bikram_koirala_igarss2018.pdf (242.16 KB)
a_nn_method_bikram_koirala_igarss2018.pdf (242.16 KB), “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)
fractional_abundance_estimation_of_mixed_and_compound_materials_by_hyperspectral_imaging.pdf (742.67 KB), “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)
bikram_koirala_igarss2019.pdf (325.58 KB), “A supervised method for nonlinear hyperspectral unmixing”, Remote Sensing, vol. 11, no. 20 , 2019. remotesensing-11-02458-v3.pdf (3.23 MB)
remotesensing-11-02458-v3.pdf (3.23 MB), “How Hyperspectral Image Unmixing and Denoising Can Boost Each Other”, Remote Sensing, vol. 12, no. 1728, 2020. remotesensing-12-01728.pdf (2.27 MB)
remotesensing-12-01728.pdf (2.27 MB), “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)
final_version_leaf_parameter_estimation.pdf (2.66 MB), “BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS”, in IEEE International Geoscience and Remote Sensing Symposium IGARSS, 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)
ieee_version.pdf (3.76 MB), “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)
igarss2021.pdf (659.27 KB), “SUnCNN: Sparse Unmixing Using Unsupervised Convolutional Neural Network”, IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2021. ieee_grsl_sundip.pdf (2.34 MB)
ieee_grsl_sundip.pdf (2.34 MB), “UnDIP: hyperspectral unmixing using deep image prior”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2021. manuscript.pdf (13 MB)
manuscript.pdf (13 MB), “Blind Nonlinear Unmixing For Intimate Mixtures Using Hapke Model And CNN”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022, pp. 1-5. whispers_2022_hapkecnn.pdf (1.93 MB)
whispers_2022_hapkecnn.pdf (1.93 MB), “Deep Blind Unmixing using Minimum Simplex Convolutional Network”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 28-31. misicnet_igarss2022.pdf (1.29 MB)
misicnet_igarss2022.pdf (1.29 MB), “HapkeCNN: Blind nonlinear unmixing for intimate mixtures using Hapke model and convolutional neural network”, IEEE Transactions on Geoscience and Remote Sensing, 2022. hapke_cnn.pdf (8.14 MB)
hapke_cnn.pdf (8.14 MB), “Hyperspectral Unmixing Using Transformer Network”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022. transformer_unmixing.pdf (6.32 MB)
transformer_unmixing.pdf (6.32 MB), “MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, no. 5522815, 2022. misicnet_ieee_tgrs_author_version.pdf (5.57 MB)
misicnet_ieee_tgrs_author_version.pdf (5.57 MB), “Non-Destructive Analysis of Plant Physiological Traits Using Hyperspectral Imaging: A Case Study on Drought Stress”, Computers and Electronics in Agriculture, vol. 195, no. 106806, 2022. 1-s2.0-s0168169922001235-main.pdf (5.53 MB)
1-s2.0-s0168169922001235-main.pdf (5.53 MB), “A Robust Supervised Method for Estimating Soil Moisture Content From Spectral Reflectance”, IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1-13, 2022. soil_moisture_content.pdf (7.95 MB)
soil_moisture_content.pdf (7.95 MB), “A Robust Supervised Method to Estimate Chlorophyll Ab Content from Spectral Reflectance”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 326-329. igarss_2022.pdf (238.85 KB)
igarss_2022.pdf (238.85 KB), “Sparse Unmixing using Deep Convolutional Networks”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 24-27. suncnn_igarss2022.pdf (1.03 MB)
suncnn_igarss2022.pdf (1.03 MB), “An Extensive Multisensor Hyperspectral Benchmark Datasets of Intimate Mixtures of Mineral Powders”, in IEEE International Geoscience and Remote Sensing Symposium, 2023, pp. 5890-5893. igarss_2022_1.pdf (1001.3 KB)
igarss_2022_1.pdf (1001.3 KB), “A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures”, IEEE Sensors Journal, 2023. a_multisensor_hyperspectral_benchmark_dataset_for_unmixing_of_intimate_mixtures_1_.pdf (22.13 MB)
a_multisensor_hyperspectral_benchmark_dataset_for_unmixing_of_intimate_mixtures_1_.pdf (22.13 MB), “Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance”, Remote Sensing, 2023. remotesensing-15-04950_1.pdf (20.86 MB)
remotesensing-15-04950_1.pdf (20.86 MB), “An efficient method for water content estimation of building materials from spectral reflectance”, NDT & E International, vol. 147, p. 103214, 2024. Download paper (7.21 MB)
Download paper (7.21 MB)