Hyperspectral Imaging Payloads Patents: Who Leads, Where Gaps Are 2026
- Filings peaked in 2021 at 10 records and fell 80% to just 2 by 2024, the last year the data can be treated as complete.
- The top 5 assignees already hold 49.1% of all 106 records in scope, with the leader alone accounting for 25.
- G01J radiometric measurement claims dominate at 75.5% of records, while surgical and diagnostic applications (A61B) sit at just 5.7%.
Filing growth compares 2021 (10 records) with 2024 (2) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 106 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
Hyperspectral imaging payloads combine a dispersive or filter-based spectral element with a radiometric calibration chain to resolve fine spectral bands from a moving platform. The search scope here pairs core imaging-spectrometer terms with the calibration and distortion vocabulary that separates a working payload from a lab bench setup: spectral smile, keystone distortion, noise equivalent radiance and slit uniformity. That combination narrows the field to 106 published records spanning 2015 through the 2026 cut-off.
Records concentrate in radiation measurement and optical systems classes, with a visible secondary cluster in image data processing — evidence that the patenting activity here sits as much in the calibration and correction pipeline as in the optics itself.
Let an AI agent run this analysis on your own technology
Pick a task. Every answer cites the patents behind it.
Filing trend and technology mix
Two views of the same 106 records: how filing activity has moved year over year, and which IPC subclasses carry the claims.
Filing trend: a sharp peak, then a fall not yet fully visible
Filings rose to a peak of 10 in 2021, then declined to 2 by 2024 — an 80% drop across that span. Because publication lags filing by roughly 18 months, 2025 and 2026 figures are still filling in and should not be read as a continued decline; the last year with a complete picture is 2024.
Technology composition: calibration and optics dominate
G01J (radiation and light measurement) appears on 75.5% of the 106 records, far ahead of G01N material analysis (30.2%) and G02B optical systems (20.8%). Image processing classes G06T and G06V sit lower, at 11.3% and 7.5% respectively, and medical application class A61B trails at 5.7% — each record can carry several classes, so these shares add to more than 100%.
Shares are the percentage of the 106 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Hyperspectral Imaging Payloads with Eureka
This page is one run against one query. Ask Eureka your own question about hyperspectral imaging payloads and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative filing and most-cited records
Curve-based radiometric calibration method and system of spaceborne hyperspectral imager
A new radiometric calibration coefficient curve describes sensor response across all bands of a hyperspectral camera fitted with a linear variable filter, enabling single-band, adjacent-band integral, and randomly-selected-band-combination imaging modes to be implemented from one calibration model rather than a per-band lookup table.Filed by Wuhan University, published 2025-08-19 — illustrates the current filing emphasis on calibration methodology rather than novel optical hardware.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | WO2017223206A1 | Hyperspectral imaging methods and apparatuses | 123 |
| 2 | US20040218172A1 | Application of spatial light modulators for new modalities in spectrometry and imaging | 107 |
| 3 | US6690817B1 | Spectral bio-imaging data for cell classification using internal reference | 85 |
| 4 | US6577782B1 | Direct space-to-time pulse shaper and optical pulse train generator | 84 |
| 5 | US20190204577A1 | Hyperspectral imaging methods and apparatuses | 83 |
| 6 | US20180153399A1 | Smartphone-based handheld ophthalmic examination devices | 75 |
| 7 | WO2016179370A1 | Smartphone-based handheld ophthalmic examination devices | 53 |
| 8 | US6552788B1 | Hyperspectral imaging using linear chromatic aberration | 46 |
| 9 | US20140176729A1 | Method for determining calibration parameters for a spectrometer | 43 |
| 10 | US7554667B1 | Method and apparatus for characterizing hyperspectral instruments | 40 |
Citation counts favour older records simply by virtue of time in the corpus; treat them as a signal of influence within this dataset, not as a ranking of current technical importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →MCP server & REST API
When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →What the numbers mean for a filing decision
Three patterns worth acting on before drafting claims in this space.
The top of the field is dense, not crowded end to end
Half of all records in scope sit with five assignees, and the leader alone holds 25 of the 106. That concentration is sharpest around calibration and radiometric methods; a long tail of single-filing entrants fills the remaining classes.
The peak has passed, but the picture past 2024 is incomplete
Filing activity peaked in 2021 and fell 80% to 2024, the last year the dataset can treat as complete. Because publication lags filing by roughly 18 months, no conclusion should be drawn yet about 2025-2026.
Claims cluster on measurement, not on downstream application
Radiation and light measurement (G01J) claims appear on three in four records, while medical and diagnostic application claims (A61B) appear on fewer than one in ten. The gap suggests application-specific claim language is comparatively unclaimed territory.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to hyperspectral imaging payloads, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Hon Hai Precision Industry Co., Ltd. | Tsinghua University | 3 |
| Tsinghua University | Foxconn Technology Group | 2 |
| ION OPTICS INC | WOLLAM JOHN S | 1 |
| ION OPTICS INC | JOHNSON EDWARD A | 1 |
| ION OPTICS INC | DALY JAMES T | 1 |
| ION OPTICS INC | BODKIN W ANDREW | 1 |
| APPLIED SPECTRAL IMAGING | CABIB DARIO | 1 |
| APPLIED SPECTRAL IMAGING | BUCKWALD ROBERT A | 1 |
Ten co-assignee pairs appear in the dataset; the strongest links university and industrial partners rather than two competing filers, consistent with sponsored or joint research programmes rather than cross-licensing.
Who holds the ground
The assignee ranking covers 42 companies and research institutions across the full set of 106 records — not a top-50 or top-100 cut, but the complete ranked list the dataset returns.
One assignee holds close to a quarter of the field
The leading assignee's count alone approaches a quarter of all records in scope, concentrated around calibration methodology and radiometric correction rather than novel dispersive optics.
A tight cluster forms just below the leader
The gap from first to fifth place narrows quickly — from 25 down to 6 — before a longer, flatter tail sets in through the rest of the ranking.
Beyond the top ten, filings thin out fast
The top 10 assignees together hold 71.7% of all 106 records, meaning the remaining 32 ranked entities share under a third of the field between them — many with a single filing.
| Assignee | Recent year | YoY |
|---|---|---|
| Teknologian Tutkimuskeskus VTT Oy (VTT Technical Research Centre of Finland) | 0 | — |
| Polyvalor LP | 0 | — |
| Hon Hai Precision Industry Co., Ltd. | 0 | — |
| ION OPTICS INC | 0 | — |
| Tsinghua University | 0 | — |
| SRI International | 0 | — |
| The Arizona Board of Regents on behalf of the University of Arizona | 0 | — |
| APPLIED SPECTRAL IMAGING | 0 | — |
Where to take this
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, white-space filing, or monitoring.
Map the leader's claim scope before drafting
With one assignee holding 25 of 106 records, a freedom-to-operate review should start there rather than across the full ranked list.
Explore assignee claims in Eureka →Test white-space claims in under-claimed branches
Application-layer classes like A61B sit well below the core measurement classes in claim density, suggesting room for narrowly scoped application claims.
Run a white-space search in Eureka →Re-run the trend once 2025-2026 filings publish
Current filing counts for the most recent years are understated by publication lag; a fresh pull in a future cycle will sharpen the post-2021 picture.
Set a monitoring alert in Eureka →Common questions on hyperspectral imaging payload patents
Filing activity in this dataset is concentrated: the top 5 assignees together hold 49.1% of all 106 records in scope, and the single leading assignee accounts for 25 of those records. Beyond the top 10, which together hold 71.7% of records, the ranking flattens into a long tail of entities with only a handful of filings each. This pattern points to a field where a small number of research institutions and specialist optics firms set the pace, while many others file opportunistically around specific calibration or application niches.
Filings peaked in 2021 at 10 records and fell to 2 by 2024, an 80% decline over that span. However, publication typically lags actual filing by around 18 months, so the 2025-2026 figures in the dataset are still incomplete and should not be read as confirmation of a continuing decline. The safest read is that 2021 marked a high point and 2024 is the last year with a reasonably complete count; a clearer trend for 2025 onward will only emerge once more filings publish.
Radiation and light measurement (IPC class G01J) appears on 75.5% of the 106 records in scope, making it by far the most heavily claimed area, followed by material analysis (G01N, 30.2%) and optical systems (G02B, 20.8%). Image processing classes and medical application classes appear far less often, with A61B diagnostic and surgical applications present on only 5.7% of records. Since records can carry multiple classes, these figures describe claim density rather than a strict breakdown of the field.
The clearest signal of open ground is the gap between core measurement claims and application-specific claims: G01J sits at 75.5% of records while A61B diagnostic and surgical applications sit at just 5.7%. Sub-areas such as diagnostic hyperspectral applications, on-orbit spectral smile self-correction, and video-rate hyperspectral compression show thin claim density relative to the core optics and calibration classes. That does not guarantee an easy grant, but it does mean less prior art to design around in early drafting.
US12392660B1, filed by Wuhan University and published 2025-08-19, describes a curve-based radiometric calibration method for a spaceborne hyperspectral imager using a linear variable filter, aimed at supporting flexible band-selection imaging modes. It is representative of a broader shift in recent filings toward calibration methodology and software-defined band handling rather than new dispersive hardware. That shift is consistent with the technology composition data, where G01J measurement and calibration claims heavily outweigh new optical-element claims in G02B.
Research Hyperspectral Imaging Payloads in depth with Eureka
Go past this page: query the whole hyperspectral imaging payloads corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.