Evidence map›Paper›PMID 39021975›Full record

ReviewHeliyon2024

Hyperspectral imaging and its applications: A review.

Anuja Bhargava, Ashish Sachdeva, Kulbhushan Sharma, Mohammed H Alsharif, Peerapong Uthansakul, Monthippa Uthansakul

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Demonstration of a 2-18 GHz Multispectral SAR.Sensors (Basel, Switzerland) · 2026
    Article
  2. Review
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  4. Review
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  16. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anuja BhargavaGLA University, Mathura, India.
Ashish SachdevaChitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Kulbhushan SharmaVLSI Centre of Excellence, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Mohammed H AlsharifDepartment of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul, 05006, South Korea.
Peerapong UthansakulSchool of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.
Monthippa UthansakulSchool of Telecommunication Engineering, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperspectral imaging has emerged as an effective powerful tool in plentiful military, environmental, and civil applications over the last three decades. The modern remote sensing approaches are adequate for covering huge earth surfaces with phenomenal temporal, spectral, and spatial resolutions. These features make HSI more effective in various applications of remote sensing depending upon the physical estimation of identical material identification and manifold composite surfaces having accomplished spectral resolutions. Recently, HSI has attained immense significance in the research on safety and quality assessment of food, medical analysis, and agriculture applications. This review focuses on HSI fundamentals and its applications like safety and quality assessment of food, medical analysis, agriculture, water resources, plant stress identification, weed & crop discrimination, and flood management. Various investigators have promising solutions for automatic systems depending upon HSI. Future research may use this review as a baseline and future advancement analysis.

Indexed as

HyperspectralImagingSensorsSpatialSpectralTemporal

Identifiers

PMID39021975
PMCPMC11253060

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.