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Hyperspectral Imaging Patents: Who Leads, Where the Gaps Are 2026

Hyperspectral Imaging Patents: Who Leads, Where the Gaps Are 2026
https://www.patsnap.com/resources/blog/rd-blog/hyperspectral-imaging-systems-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Sensors & Instrumentation · Patent Landscape
Hyperspectral Imaging Systems Patents: Filing Trends and Leading Assignees
  • 40.9% of all 93 records sit with just five assignees, while a long tail of single-filing entrants files the rest.
  • Filing peaked in 2024 at 13 records and 2022's 12 mark a midpoint after which growth has gone flat rather than climbing.
  • G01J radiation-measurement classes cover 65.6% of records but only 12.9% touch G02B optical elements, leaving the optics side comparatively open.
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93
Published Records
41%
Top-5 Share of All Records
+333%
3-Yr Growth (lag-adjusted)
CN
Leading Jurisdiction
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This dataset tracks patent families filed against hyperspectral imaging systems — spectral filter arrays, snapshot and pushbroom capture architectures, radiometric calibration methods, and the classification models built on top of the resulting cubes. The search combines title/abstract language on spectral imaging with claim-and-description language on calibration, spatial-spectral tradeoffs, data volume handling, and classification, restricted to G01J, H04N23 and G06V20 IPC classes. Coverage runs from 2015 through the 2026-07-31 data cut-off.

Ninety-three records make up the full scope, ranked across 80 distinct assignees. Publication lags filing by roughly 18 months, so the most recent filing years in the trend below are understated and should be read as a floor, not a ceiling.

Filing activity and technology composition, 2015-2026
  1. 1INNOPIX21
  2. 2VOYAGE81 LTD5
  3. 3SRM UNIV4
  4. 4KESTREL CORP4
  5. 5EATHON INTELLIGENCE4
  6. 6WUHAN UNIV3
  7. 7MDA SYST LTD3
  8. 8SPECTRAL SCIENCES INC3
  9. 9STEWARD ROBERT G2
  10. 10KOHLER DAVID D R2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Hyperspectral Imaging Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Data

Filing trend and technology composition

Two views of the same 93 records: how filing activity has moved year over year, and which IPC subclasses the claim language actually falls under.

Filing trend, 2017-2026

Filings rose from a single record in 2017 to a peak of 13 in 2024. With 2022 sitting at 12, the climb from mid-decade to peak was shallow, and the partial 2026 count (3 so far) is consistent with a plateau rather than renewed acceleration once publication lag is accounted for.

Filing trend, 2017-202604811151201720182019202020212022202313202413202532026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

G01J (radiation and light measurement) appears in 65.6% of records, confirming that most filings are anchored in core spectral-sensing claims. G01N (material analysis) and G06V (image/video recognition) each cover roughly two in five records, showing that classification and downstream analysis claims are now nearly as common as the sensing hardware itself. Because records can carry multiple classes, these shares sum to well over 100% and should be read individually, not added together.

IPC subclass compositionG01J · Radiation & light measurement6165.6%G01N · Material analysis & testing4245.2%G06V · Image/video recognition3840.9%A61B · Diagnosis & surgery2021.5%G06N · Computing based on AI models1819.4%G02B · Optical elements & systems1212.9%G06T · Image data processing & genera…1111.8%G06K · Data recognition & presentation1010.8%Other2324.7%

Shares are the percentage of the 93 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Hyperspectral Imaging Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Hyperspectral Imaging Systems with Eureka

This page is one run against one query. Ask Eureka your own question about hyperspectral imaging systems and every answer comes back with the patent numbers behind it.

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Key Patents

Most-cited records and a recent representative filing

Representative recent filing
US12392660B12025-08-19

Curve-based radiometric calibration method and system of spaceborne hyperspectral imager (US12392660B1)

WUHAN UNIVERSITY

The disclosure introduces a radiometric calibration coefficient curve describing sensor response across all bands of a hyperspectral camera fitted with a linear variable filter, matching that curve to programmable band-selection imaging. This supports single-band imaging, integral imaging of adjacent bands, and imaging of randomly selected band combinations from one calibration model rather than per-band calibration tables.Filed by Wuhan University, published 2025-08-19 — among the most recent grants in scope.

US12392660B1 — patent drawing 1US12392660B1 — patent drawing 2
View full record
Most-cited records in scope
#Publication no.Patent titleCitations
1US20160069743A1Spectral imaging system for remote and noninvasive detection of target substances using spectral filter array…298
2US6008492AHyperspectral imaging method and apparatus117
3US20170089761A1Spectral imaging system for remote and noninvasive detection of target substances using spectral filter array…113
4US20050151965A1Spectral imaging system113
5US20040153284A1Method for performing automated in-scene based atmospheric compensation for multi-and hyperspectral imaging s…63
6US7369229B2Spectral imaging system55
7WO2015195746A1Spectral imaging system for remote and noninvasive detection of target substances using spectral filter array…53
8US9551616B2Spectral imaging system for remote and noninvasive detection of target substances using spectral filter array…53
9US20190195689A1Spectral imaging system for remote and noninvasive detection of target substances using spectral filter array…32
10US6909815B2Method for performing automated in-scene based atmospheric compensation for multi-and hyperspectral imaging s…24

Citation counts favour older records simply by virtue of time in the corpus; treat them as a signal of influence on later filings, not of current commercial relevance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Hyperspectral Imaging Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for filing strategy

Three patterns stand out once family counts, IPC shares and receiving-office data are read together.

Concentration
40.9% / 54.8%
top 5 / top 10 share of 93 records

Leadership is concentrated but not locked

The top five assignees combine for 40.9% of all 93 records in scope, and the top ten reach 54.8%. That leaves nearly half the field held by a long tail of single- or double-filing entrants, which is unusual for a sensor category this specific and suggests the leaders have not yet closed off adjacent claim space.

Based on the full 80-company ranking, not a top-50 or top-100 cut.
Geography
China 30 · US 23
leading receiving offices

Filing activity clusters in China and the US

China leads receiving-office counts at 30, followed by the United States at 23, with India, WIPO/PCT, EPO and Canada trailing behind. The gap between the top two offices and the rest suggests domestic filing strategies dominate over PCT-first approaches in this field.

Receiving office counts, not assignee nationality.
Technology mix
65.6% G01J
share of records in core measurement class

Sensing claims still dominate over optics

G01J radiation-measurement claims cover 65.6% of records while G02B optical-element claims cover just 12.9%. Given that spectral filter architecture and lens design sit inside G02B, this gap points to comparatively thin claim coverage on the optical-path side relative to the sensing and calibration side.

IPC shares sum above 100% because records carry multiple classes.
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to hyperspectral imaging systems, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Hyperspectral Imaging Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where momentum sits

The ranking covers 80 assignees across the 93 records in scope. The leader holds 21 records; by fifth place that figure is down to 4, and by tenth place to 2 — a steep drop-off consistent with one dominant filer ahead of a broad, thinly-spread field.

Leader
21 records
leading assignee's family count

One filer well ahead of the field

The top-ranked assignee holds 21 of the 93 records in scope, more than five times the fifth-place count of 4. That gap is wide enough that competitive analysis in this space should treat the leader as a separate category from everyone else.

Counted in patent families.
Mid-field
4 → 2
records at 5th vs 10th place

A shallow drop-off after the leader

Fifth place holds 4 records and tenth place holds 2, meaning the assignees ranked six through ten are essentially tied. This is a crowded mid-field rather than a clear second tier, and any of these filers could move up with a modest filing push.

Ranking reflects the full 80-assignee dataset.
Collaboration
4 co-assignee pairs
strongest joint-filing links

Co-filing is limited and centred on one institution

Only four co-assignee pairs appear in the dataset, and the strongest links all involve the same research institute paired with different individual co-inventors. Joint filing is not yet a common strategy in this field outside that one cluster.

Pair counts from the co-assignee network.
🔍
Under-claimed sub-areas worth watching
Branches where filing density is lower relative to the core sensing and calibration claims.
Snapshot spectral filter array opticsLinear variable filter band-selection hardwareOn-board atmospheric compensation for spaceborne sensorsMulti-band data compression before classificationOptical path design for pushbroom-to-snapshot conversion
Rank all filers by momentum →
Recent-year filing momentum
AssigneeRecent yearYoY
SRM UNIV1
INNOPIX0
FLORIDA ENVIRONMENTAL RESEARCH INSTITUTE0
VOYAGE81 LTD0
KESTREL CORP0
Wuhan University0-100%
SPECTRAL SCIENCES INC0
MDA SYST LTD0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Hyperspectral Imaging Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The dataset points to specific next steps depending on whether the goal is freedom-to-operate, portfolio benchmarking, or identifying where to file next.

Check freedom-to-operate against the leader's claims

With one assignee holding 21 of 93 records, any new filing in calibration or classification should first be checked against that portfolio's specific claim scope rather than the field average.

Run a claim comparison in Eureka

Map the optics white space in detail

G02B coverage sits at 12.9% against 65.6% for G01J, a gap worth investigating claim-by-claim before assuming it is genuinely open.

Explore IPC gaps in Eureka

Track the mid-field for fast movers

The near-tie between fifth and tenth place means a small filing increase could reshuffle rankings; monitoring this group over the next few publication cycles is worthwhile.

Set up assignee tracking in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Hyperspectral Imaging Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about hyperspectral imaging patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Hyperspectral Imaging Systems covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

Research Hyperspectral Imaging Systems in depth with Eureka

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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