Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
Abstract 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 access to AI-driven sustainability, and transforms waste analysis ...
Arbash, E. +6 more
openaire +6 more sources
This paper proposes an experimental procedure based on hyperspectral imaging (HSI) combined with statistical classification for assessing archaeo-paleoanthropological stratigraphic deposits at the Gran Dolina site (TD10 unit), located in the Sierra de ...
Berta García-Fernández +7 more
doaj +1 more source
mHC-HSI: Clustering-Guided Hyper-Connection Mamba for Hyperspectral Image Classification
Recently, DeepSeek has invented the manifold-constrained hyper-connection (mHC) approach which has demonstrated significant improvements over the traditional residual connection in deep learning models \cite{xie2026mhc}. Nevertheless, this approach has not been tailor-designed for improving hyperspectral image (HSI) classification.
Yimin Zhu 0002 +8 more
openaire +3 more sources
SRS: 3D Mapping and Hyperspectral Imaging (HSI) v1
We have developed a protocol for utilizing stimulated Raman scattering (SRS) to acquirelabel-free measurements of specific macromolecules. When performing SRS imagingwe can acquire total protein, total lipid, unsaturated lipid, and saturatedlipid concentration from distinct Raman shift wavenumbers.
Jorge Villazon +6 more
openaire +1 more source
Fusion of hyperspectral imaging (HSI) and RGB for identification of soybean kernel damages using ShuffleNet with convolutional optimization and cross stage partial architecture. [PDF]
Zheng L +6 more
europepmc +1 more source
With the emergence of huge volumes of high-resolution Hyperspectral Images (HSI) produced by different types of imaging sensors, analyzing and retrieving these images require effective image description and quantification techniques.
Olfa Ben-Ahmed +3 more
doaj +1 more source
Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery [PDF]
With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui +3 more
core +1 more source
Near-Infrared Spectroscopy (NIRS) versus Hyperspectral Imaging (HSI) to Detect Flap Failure in Reconstructive Surgery: A Systematic Review. [PDF]
Lindelauf AAMA +4 more
europepmc +1 more source
As the demand for food surges and the agricultural sector undergoes a transformative shift towards sustainability and efficiency, the need for precise and proactive measures to ensure the health and welfare of livestock becomes paramount.
Md. Toukir Ahmed +5 more
doaj +1 more source
Hyperspectral Imaging (HSI) as a new diagnostic tool in free flap monitoring for soft tissue reconstruction: a proof of concept study. [PDF]
Kohler LH +7 more
europepmc +1 more source

