search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
SPONSORED: REMOTE THERMAL HYPERSPECTRAL IMAGING


parameters. RevealPro enables significant flexibility in the operation of the Hyper-Cam, but is organised in a very customisable and user-friendly fashion. The RevealPro GUI allows the user to optimise the software experience for their specific measurement workflow,’ Sante explained. This addresses another


challenge for today’s thermal infrared hyperspectral imaging users. Namely, the collection of high-quality hyperspectral data and then the processing of that data in a way that allows the user to extract the relevant information. Saute said: ‘There are many instrumental parameters that need to be optimised to ensure high data quality and often users will feel that the learning curve is steep. Additionally, for those new to hyperspectral imaging, it can often be a challenge to process the large quantities of data generated by hyperspectral imaging.’ Telops also offers in-depth


Hyper-Cam training sessions led by its experienced Field


Applications Engineering team to educate users on operational and data processing best practices. ‘We want our customers to be


successful with our products, and so we really try to take on a collaborative and educational role whenever possible,’ Saute added. Recently, Telops has also


introduced several automated data processing capabilities across a range of application areas to help users further. ‘For example, we have recently developed an algorithm that automatically performs gas detection, identification and quantification in real time,’ Saute explained. Additionally, Telops also


provides a software tool called FLAASH-IR, which allows the user to perform a common hyperspectral imaging data processing technique: temperature-emissivity separation. Now, Telops is focused on


developing smaller thermal infrared hyperspectral imaging systems with reduced power


“We have developed an algorithm that automatically performs gas detection,


In a recent white paper,


identification and quantification in real time”


requirements. Saute added: ‘The Hyper-Cam is well suited to airborne survey missions but the size, weight and power requirements limit deployment to larger fixed-wing platforms.’ Telops recently launched


the Hyper-Cam Airborne Mini. This ‘represents a dramatic reduction in size, weight and power consumption compared to the legacy Hyper-Cam airborne platform,’ according to Saute. ‘The small size of the Hyper-Cam Airborne Mini allows for operation from much smaller platforms, which further increases access to this powerful measurement technology.’


Telops describes how thermal infrared hyperspectral imaging was used to detect, identify and quantify unknown VOC emissions from a variety of industrial sites around Rotterdam port. The paper also explains how data processing algorithms helped to expand their gas detection and identification capabilities in this application. ‘Telops has worked hard to become a world leader in thermal infrared hyperspectral imaging, and I hope that our white paper clearly communicates Telops’ passion and expertise for this technology,’ Saute concluded. EO


• This article was brought to you by Photon Lines, UK and Ireland partner to Telops. Photon Lines offers a wide range of hyperspectral imaging solutions from more than one supplier, covering the electromagnetic spectrum from the UV to long wave thermal infrared.


New White Paper now online


From Telops www.electrooptics.com/white-papers


Electro Optics


VIEW FOR FREE*


Thermal infrared hyperspectral imaging for the detection, identification, and quantification of industrial stack gas emissions


*Registration required


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38