Resonon designs, manufactures, and deploys hyperspectral imaging systems. Their cameras are used worldwide for research and in industry by multiple Fortune 500 companies.
They integrate the Ellipse-N and Ellipse-D into their airborne hyperspectral imaging systems, which are complete solutions containing all the hardware and software necessary to acquire georegistered hyperspectral data. These systems can be mounted on both drones and piloted aerial platforms. The Ellipse INS data is used to directly georeference the imaging data.
Low SWAP-C and High Performance
Resonon needed a small and lightweight GPS/IMU solution, offering high precision and resolution, with a good SDK and USB interface. To reinforce their competitive position of “high performance, low SWaP, and high value” within their hyperspectral product line, Resonon wanted an INS that complemented these advantages.
They integrated and evaluated 5 systems from different vendors but found that Ellipse represents the best value for its precision, SWaP, and cost. Resonon engineers particularly like the SDK and ease of use.
Tight Integration and Cooperation
Ellipse is mounted with Resonon’s hyperspectral imager in a strap-down direct georeferencing modality and connected to their data acquisition system via its USB output. This system collects hyperspectral data synchronously with the attitude and location data from the INS, which are then used to georectify the hyperspectral data in post-processing.
Inertial navigation systems are sophisticated devices, as are hyperspectral imagers! Our support team has always been timely and helpful, both during the integration phase as Resonon’s navigated the SDK, but also in helping them assist their end customers to solve their application and installation specific needs. Most recently, the company added support for an RTK base station for customers who need very precise geolocation, and our SBG team assisted them in this development.
About Hyperspectral Imaging
Hyperspectral imaging is an advanced technique that enables the acquisition of detailed and comprehensive information about objects or scenes beyond what traditional imaging methods can provide. It involves the acquisition of data across a wide range of wavelengths, including both the visible and non-visible portions of the electromagnetic spectrum.
Unlike conventional imaging systems that capture only a few discrete spectral bands, hyperspectral imaging collects hundreds of narrow and contiguous spectral bands, resulting in a highly detailed spectral signature for each pixel in an image.
The rich spectral information provided by hyperspectral imaging allows for enhanced characterization, analysis, and discrimination of materials and substances. Applications include remote sensing, agriculture crop surveillance, environmental monitoring, geology mapping, and medical diagnostics. By analyzing the unique spectral properties of different materials, hyperspectral imaging can identify and differentiate objects based on their chemical composition, moisture content, temperature, or other physical characteristics.
This technology has proven particularly valuable in tasks such as vegetation analysis, mineral exploration, disease detection, and surveillance, where precise identification and discrimination of objects or substances is crucial for accurate decision-making and analysis. With ongoing advancements in sensor technology and data processing algorithms, hyperspectral imaging continues to evolve as a powerful tool for extracting valuable insights from complex data sets and pushing the boundaries of imaging capabilities.