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Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery

IEEE transactions on geoscience and remote sensing, 2021-01, Vol.59 (1), p.629-647

2021

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Hyperspectral Data Analysis in R : The hsdar Package

Journal of statistical software, 2019-05, Vol.89 (12), p.1-23

2019

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Noise Reduction in Hyperspectral Imagery: Overview and Application

Remote sensing (Basel, Switzerland), 2018-03, Vol.10 (3), p.482

2018

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Estimation of soil organic matter content using selected spectral subset of hyperspectral data

Geoderma, 2022-03, Vol.409, p.115653, Article 115653

2022

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Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data

Remote sensing of environment, 2022-09, Vol.279, p.113089, Article 113089

2022

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Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops

ISPRS journal of photogrammetry and remote sensing, 2021-03, Vol.173, p.278-296

2021

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Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review

Journal of applied remote sensing, 2021-07, Vol.15 (3)

2021

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Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review

The Science of the total environment, 2021-09, Vol.788, p.147758-147758, Article 147758

Lassalle, Guillaume

2021

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Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

IEEE journal of selected topics in applied earth observations and remote sensing, 2012-04, Vol.5 (2), p.354-379

2012

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Stratification of a local VIS-NIR-SWIR spectral library by homogeneity criteria yields more accurate soil organic carbon predictions

Geoderma, 2019-03, Vol.337, p.565-581

2019

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Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

Neurocomputing (Amsterdam), 2016-04, Vol.185, p.1-10

2016

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Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method

Remote sensing of environment, 2015-08, Vol.165, p.123-134

2015

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A Review of Nonlinear Hyperspectral Unmixing Methods

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-06, Vol.7 (6), p.1844-1868

2014

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Fast and nondestructive discrimination of coal types based on spectral feature parameters

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2024-12, Vol.322, p.124749, Article 124749

2024

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Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification

IEEE transactions on geoscience and remote sensing, 2019-11, Vol.57 (11), p.9201-9222

2019

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Angle effects of vegetation indices and the influence on prediction of SPAD values in soybean and maize

International journal of applied earth observation and geoinformation, 2020-12, Vol.93, p.102198, Article 102198

2020

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Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

Remote sensing of environment, 2021-10, Vol.264, p.112582, Article 112582

2021

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Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms

Remote sensing of environment, 2019-10, Vol.232, p.111323, Article 111323

2019

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Hyperspectral image-based vegetation index (HSVI): A new vegetation index for urban ecological research

International journal of applied earth observation and geoinformation, 2021-12, Vol.103, p.102529, Article 102529

2021

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Retrieving canopy nitrogen concentration and aboveground biomass with deep learning for ryegrass and barley: Comparing models and determining waveband contribution

Field crops research, 2023-04, Vol.294, p.108859, Article 108859

2023

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Soil Carbon Estimation From Hyperspectral Imagery With Wavelet Decomposition And Frame Theory

IEEE transactions on geoscience and remote sensing, 2024-09, p.1-1

2024

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Estimation of soil copper content based on fractional-order derivative spectroscopy and spectral characteristic band selection

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2022-07, Vol.275, p.121190, Article 121190

2022

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Atmospheric correction for hyperspectral ocean color retrieval with application to the Hyperspectral Imager for the Coastal Ocean (HICO)

Remote sensing of environment, 2018-01, Vol.204, p.60-75

2018

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Interpretable Networks for Hyperspectral Anomaly Detection: A Deep Unfolding Solution

IEEE transactions on geoscience and remote sensing, 2024-07, p.1-1

2024

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An advanced remote sensing retrieval method for urban non-optically active water quality parameters: An example from Shanghai

The Science of the total environment, 2023-07, Vol.880, p.163389-163389, Article 163389

2023

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Superpixel-Based Reweighted Low-Rank and Total Variation Sparse Unmixing for Hyperspectral Remote Sensing Imagery

Hyperspectral Data Analysis in R : The hsdar Package

Noise Reduction in Hyperspectral Imagery: Overview and Application

Estimation of soil organic matter content using selected spectral subset of hyperspectral data

Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data

Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops

Hyperspectral remote sensing in lithological mapping, mineral exploration, and environmental geology: an updated review

Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Stratification of a local VIS-NIR-SWIR spectral library by homogeneity criteria yields more accurate soil organic carbon predictions

Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method

A Review of Nonlinear Hyperspectral Unmixing Methods

Fast and nondestructive discrimination of coal types based on spectral feature parameters

Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification

Angle effects of vegetation indices and the influence on prediction of SPAD values in soybean and maize

Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion

Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms

Hyperspectral image-based vegetation index (HSVI): A new vegetation index for urban ecological research

Retrieving canopy nitrogen concentration and aboveground biomass with deep learning for ryegrass and barley: Comparing models and determining waveband contribution

Soil Carbon Estimation From Hyperspectral Imagery With Wavelet Decomposition And Frame Theory

Estimation of soil copper content based on fractional-order derivative spectroscopy and spectral characteristic band selection

Atmospheric correction for hyperspectral ocean color retrieval with application to the Hyperspectral Imager for the Coastal Ocean (HICO)

Interpretable Networks for Hyperspectral Anomaly Detection: A Deep Unfolding Solution

An advanced remote sensing retrieval method for urban non-optically active water quality parameters: An example from Shanghai

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