ArticleSensors (Basel, Switzerland)2022
High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 89 citations in OpenAlex.
- Comparative Evaluation of Spectroscopic Sensor Modalities (LIBS, MIRS, and VNIR-SWIR Hyperspectral Imaging) for the Quantification of Calcium Carbonate.Sensors (Basel, Switzerland) · 2026Article
- Design and Demonstration of Compact and Lightweight Imaging Spectrometer Based on Schwarzschild Reflector Systems Using Commercial Off-the-Shelf Optics.Sensors (Basel, Switzerland) · 2025Article
- Low-Cost Hyperspectral Imaging in Macroalgae Monitoring.Sensors (Basel, Switzerland) · 2025Article
- HyperKAN: Kolmogorov-Arnold Networks Make Hyperspectral Image Classifiers Smarter.Sensors (Basel, Switzerland) · 2024Article
- Lightweight 3D Dense Autoencoder Network for Hyperspectral Remote Sensing Image Classification.Sensors (Basel, Switzerland) · 2023Article
- Low-Cost Hyperspectral Imaging to Detect Drought Stress in High-Throughput Phenotyping.Plants (Basel, Switzerland) · 2023Article
- Spatial-Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
High-resolution hyperspectral imaging is becoming indispensable, enabling the precise detection of spectral variations across complex, spatially intricate targets. However, despite these significant benefits, currently available high-resolution set-ups are typically prohibitively expensive, significantly limiting their user base and accessibility. These limitations can have wider implications, limiting data collection opportunities, and therefore our knowledge, across a wide range of environments. In this article we introduce a low-cost alternative to the currently available instrumentation. This instrument provides hyperspectral datasets capable of resolving spectral variations in mm-scale targets, that cannot typically be resolved with many existing low-cost hyperspectral imaging alternatives. Instrument metrology is provided, and its efficacy is demonstrated within a mineralogy-based environmental monitoring application highlighting it as a valuable addition to the field of low-cost hyperspectral imaging.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.