How Good Is The Camera? IEEE 4001™ Gives Answers

Comprehensive performance characteristics and image metadata for hyperspectral imaging

Addressing a long-standing community need

Modern cameras can collect vast amounts of quantitative spatial and radiometric information in remote sensing and other applications. Hyperspectral cameras can also collect rich spectral information. The quality of image data depends on nominal camera properties such as resolution and spectral range, but also on many other aspects of camera performance. Therefore, there are many ways in which a camera can be a limitation, or cause disappoint­ment, in a given application. At the same time, camera specifications are very often inadequate for prediction of actual application performance. Also, metadata provided with images often do not give complete information about the imprint left by the camera on the image data.

Many standards exist for characterizing various aspects of camera performance. However, there has been no widely agreed way to specify all major aspects of performance to enable prediction of performance for a complete camera including optics. The EMVA 1288 standard provides a good framework for characterizing image sensors, but does not cover characterization of a complete camera. This gap has persisted even in the highly technical field of hyperspectral imaging, where the community has recognized that there is a need to improve the way cameras are specified.

Advancing the state of the art of camera specification

A working group of about 100 people, representing a cross-section of the hyperspectral community, has worked for several years to develop a set of camera characteristics and image metadata that give an essentially complete description of the performance of a hyperspectral camera. This effort has led to the IEEE 4001 standard, which has been approved in 2025. IEEE 4001 defines camera characteristics that are directly comparable between common types of hyperspectral cameras. The standard also defines corresponding camera-related metadata which can improve information extraction from images. With some adaptation, IEEE 4001 can also aid specification of performance of other types of cameras.

Formal scope and extended usability.

Formally, IEEE 4001 “Standard for Characterization of Hyperspectral Imaging Devices – Ultraviolet through Shortwave Infrared” applies to hyperspectral cameras operating in the spectral range from 250 to 2500 nm wavelength, mostly used for imaging of reflected light, and with a spectral sampling interval not exceeding 1/30 of the spectral range.

IEEE 4001 applies to cameras based on the common “pushbroom” imaging spectrometer architecture, and also snapshot “array imaging” cameras as well as tunable filter cameras and scanned point spectrometers. Camera specifications compliant to IEEE 4001 can be directly compared between these different camera types.

Beyond the formal scope, the IEEE 4001 standard can also be used to guide specification of other camera types, with minor adaptations. This includes multispectral, color, and thermal cameras. Field spectroradiometers can also be meaningfully characterized with a subset of the IEEE 4001 characteristics.

Use cases and feature highlighting

IEEE 4001 defines a set of notional use cases ranging from basic industrial process control to advanced geospatial imaging. Different sets of characteristics are mandated for each use case. The standard mandates inclusion of minimum-performance values, but also provides for highlighting camera features in the specification.

Comprehensive, yet minimal, camera characteristics

IEEE 4001 incorporates many conventional camera characteristics, but also some newly developed performance metrics, in order to arrive at a minimal (necessary and sufficient) set that includes parameters of a complete signal model, as well as measures of actual resolution and various nonidealities. Many aspects of camera performance are covered:

Spectral: Spectral range, Number of bands, Spectral sampling interval, Spectral peak width, Equivalent Band Count

Spatial: Pixel format, Field of view, Geometrical pixel field of view, Peak width, Equivalent Pixel Count, Effective spatial fill factor, Spatial distortion, Object distance

Radiometric: Effective throughput, Response nonuniformity, Read noise, Normalized read noise, Dark current, NESR at the noise floor, Saturation capacity, Linearity error, Signal to noise ratio, Dynamic range, Dark correction

Temporal: Maximum frame rate, Integration time range, Synchronization between bands, Dead time

Coregistration: Spatial coregistration error, Spectral coregistration error

Stray light: Spatial stray light, Spectral stray light

Data output: Output data level, Real time capability, Synchronization capability, Invalid data flagging

Calibration: Statement of radiometric, spectral, and geometrical accuracy

Other characteristics: Bad pixels, Polarization dependence, Detector type/temperature

Metadata enhancing image exploitation

IEEE 4001 also defines camera-related metadata describing the influence of camera properties on a given image. With IEEE 4001-compliant metadata, it is for example possible to estimate the signal-dependent physical noise amplitude in all pixels and all bands, and to estimate the local magnitude of artifacts due to coregistration error. This can enable more accurate extraction of information from imagery.

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