Test of LVF Based algorithms on a Compact Huperspectral Imager (COSI)
Programme
GSTP
Programme Reference
G637-010MM
Prime Contractor
VITO VL.INST.TECHN.ONDERZOEK
Start Date
End Date
Status
Closed
Country
Belgium
Objectives
The aim of the activity is to develop a system to perform validation of algorithms for Hyperspectral Instruments based on Linear Variable Filters.
Description
Hyperspectral instruments based on Linear Variable Filters (LVF) have been subject of development of TRP activities such as the Compact Hyperspectral Breadboard activity (a.k.a. CHIB) and also the activity dealing with focal plane direct deposited detector filters with high peak transmittance and out of band rejection (a.k.a. Fidelheo). These instruments are also addressed in the on-going GSTP activity, Technologies and Key Components for Compact Hyperspectral Instruments, (a.k.a. CHIEM).
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Hyperspectral instruments based on LVF are compact and cost effective systems, but require dedicated algorithms to compensate yaw misalignment with respect to the flight direction. Furthermore, they generate massive amounts of raw data that need to be processed in quasi real time to reduce the data volume and to provide user friendly solutions. ;Therefore, one important element of these type of instruments is the development and validation of algorithms for real time generation of data products from hyperspectral raw data. ;Some work in this direction has already been done in the frame of the GSTP HyperCube activity, where the proof of concept for quasi real time extraction of Level 2 products from raw data has been achieved for the NDVI product.
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Further work is necessary for experimenting new algorithms to be used to extract information from hyperspectral images. ;Applications span from precision farming, irrigation, automatic detection of anomalies, e.g. flooding and landslides. ;;Validation of new algorithms using a hyperspectral payload flying on board of a satellites, e.g. VIRSI (a Hyperspectral Imaging In-Orbit Demonstration with GOMX-4B satellite as a target), does not seems a viable solution, given the complexity of the validation itself and the difficulties related to upload large software patches on a small satellite.
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The objective of this activity is to develop a system to perform validation of the algorithms in a cost effective way before they are uploaded on the actual payload. The system will consists of a simplified LVF hyperspectral instrument and of an automated processing system to speed up the validation of new algorithms.
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The algorithms will be uploaded during the operations of the satellite, as soon as each of new algorithms are validated (note: the launch date is not a hard deadline for the completion of the work). Furthermore, as VIRSI is the in-orbit demonstrator, it is planned to go operational after VIRSI. ;It is planned to use the algorithms developed in COSI for the operational satellites, therefore to have the COSI platform developed at this stage is instrumental for the recurrent flight models. ;The ground characterisation of the test sites has already been subject of work in activities performed, both under ESA contracts (Prodex activity) and of other activities.
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The following tasks are need to reach the above objectives:
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- Procure the LVF detector developed in the Fidelheo Project, an industrial grade electronics read-out electronics, a ruggedized refractive optics and assemble a Compact Hyperspectral Imaging System, named COSI.
- Develop an automated processing system to test new algorithms.
- Perform airborne test campaign on selected targets to validate the system and the new set of algorithms.
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COSI with a mass of only a couple of kilos will be flown on a drone, e.g. an optocopter, therefore the cost of the flight campaign will be very limited.
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The output of the activity is the Compact Hyperspectral Imager (COSI), a software platform for automated hyperspectral image processing, and a set of validated algorithms that will be used on board of the VIRSI and possible follow-on.
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Processing hyperspectral images is a fast growing field. It is not expected that all the possibilities to extract information from hyperspectral images will be explored within the COSI activities. The platform developed within the COSI project will be an asset for further algorithm development and validation.
Application Domain
Generic Technologies
Technology Domain
16 - Optics
Competence Domain
5-Radiofrequency & Optical Systems and Products
Initial TRL
TRL 5
Target TRL
TRL 6
Achieved TRL
TRL 6