HYPER-I-NET · Hyperspectral imaging Network

Final Activity Report Summary - HYPER-I-NET (Hyperspectral Imaging Network)

HYPER-I-NET was a four-year Marie Curie Research Training Network project designed to build an interdisciplinary European research community focusing on hyperspectral imaging activities. The network was formed by a multidisciplinary team composed of fifteen highly experienced European partner organisations. In this summary, we outline the activities that have been carried out in the four main areas covered by HYPER-I-NET: 1) hyperspectral sensor specification, 2) processing chain definition and implementation, 3) calibration, validation and definition of standardisation mechanisms, and 4) science applications. 1. Hyperspectral sensor specification. The main goal of this activity has been to investigate the sensor requirements for various applications and develop new sensor specifications. For this purpose, the tasks carried out have comprised the analysis of application needs in terms of derived parameters and variables in different application fields such as agriculture, forestry, geology, phenology/limnology or urban management, with the ultimate goal of compiling spectral databases to determine the spectral response related to the individual variables and parameters and to translate the observed needs into performance requirements of new hyperspectral sensors by developing a dedicated hyperspectral instrument model (optical layout and transfer, noise, etc.). 2. Processing chain definition and implementation. The main goal of this activity has been to settle the basis for the generalisation of a well-defined hyperspectral data collection and processing chain that might serve as a standardised procedure for processing this type of data in Europe. For this purpose, the tasks carried out comprise the definition of a processing chain able to address needs from scientific applications and constraints imposed by sensor design, and the preliminary implementation of the processing chain steps. The outcome of this activity has been a series of standardised hardware/software processing techniques able to deal with the intrinsic complexity of the data, along with processing chain definition and implementation reports. 3. Calibration, validation and definition of standardisation mechanisms. This activity has been focused on the calibration/validation of hyperspectral sensors and the results from various processing steps of the processing chain described above. This has been a crucial step to reduce the overall uncertainties introduced by hyperspectral imaging instruments. For this purpose, the tasks carried out have comprised an inventory of existing calibration equipment and methodologies as well as an inventory of methods and processors for on board, laboratory and vicarious calibration and assimilation, interaction with scientists and researchers. 4. Science applications. This activity has been aimed at compiling relevant applications and methods applied using imaging spectrometer data, and creating a product catalogue of both. The main task carried out in this activity has comprised the definition of an algorithm theoretical baseline document (ATBD) listing methods used for selected applications, complemented partly by available models and source code. It is important to emphasise that the parts of these workpackages which have been approved for public distribution by the consortium are available online from the HYPER-I-NET project website http://hyperinet.multimediacampus.it/. The fact that several of the deliverables resulting from the main scientific activities of the project are publicly available in the form of technical reports http://hyperinet.multimediacampus.it/publication4.htm allows a rapid dissemination of such activities in the wide remote sensing community. The dissemination is supported by the network newsletter http://hyperinet.multimediacampus.it/publication5.htm, which provides a forum for presenting the main research and transfer of knowledge activities carried out by the different partners in the consortium.

Data: CORDIS, © European Union