Paul Scheunders
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View article: Moisture Content Estimation of Porous Building Stones using Hyperspectral Imaging
Moisture Content Estimation of Porous Building Stones using Hyperspectral Imaging Open
Moisture poses a major threat to built heritage through processes such as frost damage, salt crystallization and biological growth, which accelerate stone deterioration. Stone moisture content can be determined non-destructively by spectra…
View article: Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset Open
The global challenge of sustainable recycling demands automated, fast, and accurate material detection systems that act as a bedrock for a circular economy. Integrating front-tier technologies into advanced recycling systems democratizes a…
View article: Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset Open
The global challenge of sustainable recycling demands automated, fast, and accurate, state-of-the-art (SOTA) material detection systems that act as a bedrock for a circular economy. Democratizing access to these cutting-edge solutions that…
View article: Optimizing Plastic Identification in E-Waste Recycling through Hyperspectral Imaging and Transformer-Based Machine Learning Models
Optimizing Plastic Identification in E-Waste Recycling through Hyperspectral Imaging and Transformer-Based Machine Learning Models Open
The rapid growth of the electronics market, driven by high demand for new technologies, has shortened the lifespan of electronic products, leading to a surge in electronic waste (E-waste). Comprising 25% plastics, E-waste contains unrecove…
View article: A Tractable Two-Step Linear Mixing Model Solved with Second-Order Optimization for Spectral Unmixing under Variability
A Tractable Two-Step Linear Mixing Model Solved with Second-Order Optimization for Spectral Unmixing under Variability Open
In this paper, we propose a Two-Step Linear Mixing Model (2LMM) that bridges the gap between model complexity and computational tractability. The model achieves this by introducing two distinct scaling steps: an endmember scaling step acro…
View article: Soil Moisture Content Estimation From Hyperspectral Remote Sensing Data
Soil Moisture Content Estimation From Hyperspectral Remote Sensing Data Open
Because of its significant absorption power, especially in the shortwave infrared optical region, water dominates the optical reflectance properties of water-bearing materials. This allows us to study a material’s water-related features, s…
View article: A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures
A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures Open
In this work, we propose a supervised framework for spectral unmixing of binary intimate mixtures. The core idea is based on geodesic distance measurements and regression to estimate the fractional abundances. The main assumption is that s…
View article: Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging
Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging Open
High-voltage transmission towers require regular inspections to identify corrosion. Traditionally, these inspections are performed through climbing, involving skilled technicians. This method is both tedious and hazardous, often necessitat…
View article: Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance
Study on the Potential of Oil Spill Monitoring in a Port Environment Using Optical Reflectance Open
In this work, we studied the potential of the visible, near-infrared, and shortwave infrared wavelength regions for monitoring oil spill incidents using optical reflectance. First, a simple physical model was designed for accurate oil thic…
View article: A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures
A Multisensor Hyperspectral Benchmark Dataset For Unmixing of Intimate Mixtures Open
Optical hyperspectral cameras capture the spectral reflectance of materials. Since many materials behave as heterogeneous intimate mixtures with which each photon interacts differently, the relationship between spectral reflectance and mat…
View article: Shadow-Aware Nonlinear Spectral Unmixing With Spatial Regularization
Shadow-Aware Nonlinear Spectral Unmixing With Spatial Regularization Open
Current shadow-aware hyperspectral unmixing (HySU) methods often suffer from noisy abundance maps and inaccurate abundance estimation of shadowed pixels, as these are characterized by low reflectance values and signal-to-noise ratio. In or…
View article: Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging.
Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging. Open
This study presents a novel method for the detection and quantification of atmospheric corrosion products on carbon steel. Using hyperspectral imaging (HSI) in the short-wave infrared range (SWIR) (900-1700 nm), we are able to identify the…
View article: Corrosion Monitoring On Zinc Electroplated Steel Using Shortwave Infrared Hyperspectral Imaging
Corrosion Monitoring On Zinc Electroplated Steel Using Shortwave Infrared Hyperspectral Imaging Open
In this study, we investigate the use of hyperspectral imaging (HSI) to inspect the formation of corrosion products on galvanised carbon steel samples. Ten samples were subjected to an accelerated corrosion test with different exposure tim…
View article: Deep Hyperspectral Unmixing using Transformer Network
Deep Hyperspectral Unmixing using Transformer Network Open
Currently, this paper is under review in IEEE. Transformers have intrigued the vision research community with their state-of-the-art performance in natural language processing. With their superior performance, transformers have found their…
View article: Identification of Corrosion Minerals Using Shortwave Infrared Hyperspectral Imaging
Identification of Corrosion Minerals Using Shortwave Infrared Hyperspectral Imaging Open
In this study, we propose a new method to identify corrosion minerals in carbon steel using hyperspectral imaging (HSI) in the shortwave infrared range (900–1700 nm). Seven samples were artificially corroded using a neutral salt spray test…
View article: Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging
Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging Open
This study presents a novel method for the detection and quantification of atmospheric corrosion products on carbon steel.
View article: Shadow-Aware Nonlinear Spectral Unmixing for Hyperspectral Imagery
Shadow-Aware Nonlinear Spectral Unmixing for Hyperspectral Imagery Open
In hyperspectral imagery, differences in ground surface structures cause a large variation in the optical scattering in sunlit and (partly) shadowed pixels. The complexity of the scene demands a general spectral mixture model that can adap…
View article: MS$^{2}$A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering
MS$^{2}$A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering Open
Remote sensing hyperspectral cameras acquire high spectral-resolution data that reveal valuable composition information on the targets (e.g., for Earth observation and environmental applications). The intrinsic high dimensionality and the …
View article: Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm
Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm Open
The ever-growing developments in technology to capture different types of image data [e.g., hyperspectral imaging and light detection and ranging (LiDAR)-derived digital surface model (DSM)], along with new processing techniques, have led …
View article: Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition
Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition Open
Fusing a low spatial resolution hyperspectral image (HSI) with a high spatial resolution multispectral image (MSI), aiming to produce a super-resolution hyperspectral image, has recently attracted increasing research interest. In this pape…
View article: Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm
Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm Open
The increasing amount of information acquired by imaging sensors in Earth Sciences results in the availability of a multitude of complementary data (e.g., spectral, spatial, elevation) for monitoring of the Earth’s surface. Many studies we…
View article: How Hyperspectral Image Unmixing and Denoising Can Boost Each Other
How Hyperspectral Image Unmixing and Denoising Can Boost Each Other Open
Hyperspectral linear unmixing and denoising are highly related hyperspectral image (HSI) analysis tasks. In particular, with the assumption of Gaussian noise, the linear model assumed for the HSI in the case of low-rank denoising is often …
View article: A Supervised Method for Nonlinear Hyperspectral Unmixing
A Supervised Method for Nonlinear Hyperspectral Unmixing Open
Due to the complex interaction of light with the Earth’s surface, reflectance spectra can be described as highly nonlinear mixtures of the reflectances of the material constituents occurring in a given resolution cell of hyperspectral data…
View article: Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields
Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields Open
Classification of hyperspectral images is a challenging task owing to the high dimensionality of the data, limited ground truth data, collinearity of the spectra and the presence of mixed pixels. Conventional classification techniques do n…
A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila Open
Isolation profoundly influences social behavior in all animals. In humans, isolation has serious effects on health. Drosophila melanogaster is a powerful model to study small-scale, temporally-transient social behavior. However, longer-ter…
View article: Noise Reduction in Hyperspectral Imagery: Overview and Application
Noise Reduction in Hyperspectral Imagery: Overview and Application Open
Hyperspectral remote sensing is based on measuring the scattered and reflected electromagnetic signals from the Earth’s surface emitted by the Sun. The received radiance at the sensor is usually degraded by atmospheric effects and instrume…
View article: Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation
Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation Open
In this paper, a new method is presented for spatial resolution enhancement of hyperspectral images (HSI) using spectral unmixing and a Bayesian sparse representation. The proposed method combines the high spectral resolution from the HSI …
View article: Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy
Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy Open
Appropriate management of (semi-)natural areas requires detailed knowledge of the ecosystems present and their status. Remote sensing can provide a systematic, synoptic view at regular time intervals, and is therefore often suggested as a …