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Corning 410-VIS Hyperspectral Imaging System

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Brand Corning
Origin USA
Manufacturer Type Authorized Distributor
Origin Category Imported
Model 410-VIS
Spectral Range 400–1000 nm
Spectral Resolution 682 × 80,000 pixels per data cube (configurable subcube selection)
Spatial Resolution 4000 × 3000 pixels + 1408 spatial-band CCD/CMOS hybrid detector
Instantaneous Field of View (IFOV) Defined by 4000 × 3000 + 1408 detector architecture
Total Field of View (TFOV) Elevation: +30° to −135°
Roll ±90°
Frame Rate Selectable from 100, 120, 160, 200, 220, 240, or 300 Hz (auto-synchronized with platform speed and swath width)
Spectral Sampling Interval 2 nm (with optional 2× binning)
Number of Spectral Bands Up to 150 programmable channels
Lens 16 mm f/1.4, 29.5° FOV
Data Depth 12-bit
Onboard Storage 800 GB high-speed SSD
Navigation Integration GNSS (GPS/GLONASS/Galileo) + MEMS IMU + Kalman-filtered inertial navigation system (INS)
Interfaces Gigabit Ethernet, eSATA, USB 3.0, microSD, SkyPort V2 electronic interface
Stabilization Brushless gimbal, pitch ±40° / roll ±45° mechanical stabilization range
Weight <1.4 kg
Mounting Tool-less quick-release with SkyPort V2 electrical mating

Overview

The Corning 410-VIS Hyperspectral Imaging System is a field-deployable, push-broom hyperspectral sensor engineered for high-fidelity spectral-spatial data acquisition across visible to near-infrared (VNIR) wavelengths (400–1000 nm). It employs a dispersive optical architecture—specifically a prism- or grating-based spectrometer coupled to a hybrid 4000 × 3000 pixel CMOS imaging sensor and a dedicated 1408-pixel spatial-band linear array—to generate calibrated hyperspectral data cubes at up to 300 Hz frame rate. Each acquired cube contains up to 150 user-selectable spectral bands with 2 nm native sampling resolution (binnable to 4 nm), enabling precise material identification and quantification in dynamic airborne and ground-based remote sensing applications. The system integrates a high-precision inertial navigation unit (GNSS + MEMS IMU + Kalman filter) and embeds real-time georeferencing capability via on-board generation of ENVI-compatible Image Geometry Metadata (IGM) files—ensuring pixel-level geolocation accuracy without post-mission ground control point dependency.

Key Features

  • Dispersive VNIR hyperspectral architecture optimized for radiometric stability and low stray-light performance
  • Hybrid detector configuration: 4000 × 3000 pixel panchromatic imager co-registered with 1408-pixel spatial-spectral line array for simultaneous high-resolution RGB and spectral data capture
  • Real-time embedded processing engine supporting autonomous mission modes (three preprogrammed acquisition profiles) and manual operation via web-based GUI
  • Tool-less SkyPort V2 quick-mount interface compatible with DJI Matrice 300 RTK and other industrial UAV platforms; total mass <1.4 kg ensures minimal payload impact on flight endurance
  • Gimbal-stabilized optical train with ±40° pitch and ±45° roll active stabilization, plus mechanical limits of +30°/−135° elevation and ±90° roll for wide-area coverage
  • Onboard 800 GB SSD storage with 12-bit raw data recording; supports full-cube or user-defined spectral subcube export to reduce bandwidth and accelerate downstream analysis
  • Multi-interface connectivity: Gigabit Ethernet (for command/control and telemetry), eSATA (high-speed offload), USB 3.0 (local configuration), microSD (backup), and SkyPort V2 (power + bidirectional digital comms)

Sample Compatibility & Compliance

The 410-VIS is designed for non-contact, standoff spectral characterization of heterogeneous natural and engineered surfaces—including vegetation canopies, soil substrates, mineral outcrops, pipeline coatings, and urban infrastructure. Its spectral response conforms to ASTM E275–22 (Standard Practice for Describing and Measuring Performance of UV-Vis-NIR Spectrophotometers) and ISO 17284:2021 (Remote sensing — Hyperspectral imaging systems — Performance requirements and test methods). Radiometric calibration traceability is maintained through factory-applied NIST-traceable reflectance standards and onboard dark-current and flat-field correction routines. For regulated environments (e.g., environmental monitoring under EPA Method 1800 or agricultural compliance reporting), the system supports audit-ready metadata logging—including timestamped GPS position, IMU orientation quaternions, exposure parameters, and thermal sensor readings—all embedded in IGM and raw data headers per ISO/IEC 17025 documentation requirements.

Software & Data Management

The 410-VIS operates via an embedded Linux-based controller running a browser-accessible web GUI compatible with Chrome, Firefox, and Edge. Users configure acquisition parameters—including frame rate, spectral band selection, binning mode, and geotagging options—without installing proprietary desktop software. All captured data are stored as standard BSQ or BIL format ENVI-compatible files, accompanied by sidecar IGM files containing WGS84 latitude/longitude for every spatial pixel. The system natively exports metadata compliant with the NASA HDF5-based Common Metadata Repository (CMR) schema and supports direct ingestion into commercial analytical platforms including ENVI, PCI Geomatica, Python-based scikit-image + spectral, and MATLAB HyperCube Toolbox. No vendor lock-in: raw binary data streams are fully documented in the publicly available Corning 410-VIS Data Format Specification (Rev. 3.2), enabling third-party integration for automated classification pipelines or cloud-based analytics workflows.

Applications

  • Precision agriculture: Crop health assessment (NDVI, PRI, MCARI), nutrient deficiency mapping, and yield prediction via canopy spectral unmixing
  • Coastal and inland water quality monitoring: Chlorophyll-a, suspended sediment, CDOM, and harmful algal bloom detection using spectral absorption features between 400–750 nm
  • Geological surveying: Mineral identification (e.g., clays, carbonates, iron oxides) based on diagnostic absorption features in the 700–1000 nm range
  • Infrastructure inspection: Thermal degradation of power line insulators, corrosion signatures on pipelines, asphalt fatigue detection, and pavement composition analysis
  • Forestry and land cover classification: Species discrimination, biomass estimation, fire risk assessment, and post-wildfire regrowth monitoring
  • Disaster response: Flood extent delineation, landslide scar mapping, and search-and-rescue target prioritization using spectral contrast enhancement algorithms
  • Environmental compliance: Monitoring landfill leachate plumes, illegal dumping sites, and industrial effluent dispersion in surface waters

FAQ

Is the 410-VIS compatible with DJI M300 RTK’s Payload SDK?
Yes—the system implements full SkyPort V2 electrical and logical interoperability, enabling seamless integration with DJI Payload SDK v4.2+ for custom mission scripting, real-time telemetry access, and synchronized trigger control.
Can I acquire both RGB imagery and hyperspectral data simultaneously?
Yes—the hybrid detector architecture captures synchronized 12-megapixel panchromatic images alongside hyperspectral line data, allowing co-registered visual verification and rapid visual-spectral correlation.
What level of geolocation accuracy can be expected without ground control points?
With integrated GNSS + MEMS IMU + Kalman filtering, horizontal RMS error is typically ≤2.5 m CEP at 100 m AGL; vertical accuracy is ≤4.0 m RMS under open-sky conditions.
Does the system support radiometric calibration in-flight?
No—radiometric calibration is performed pre-flight using certified reflectance panels; however, dark current and vignetting corrections are applied in real time during acquisition.
Is FDA 21 CFR Part 11 compliance supported for regulated environmental reporting?
While the 410-VIS itself does not implement electronic signature or audit trail functionality, its metadata-rich output (including timestamps, operator ID fields, and immutable sensor logs) meets foundational data integrity requirements for GLP/GMP-aligned workflows when paired with validated third-party LIMS or ELN systems.

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