EnMAP-Box I - Development of a software for processing and analysis of image data from the EnMAP satellite mission

Aim of the project was the continuous development and dissemination of a software environment (EnMAP-Box) for the digitial image processing of hyperspectral image data from the EnMAP satellite mission. The EnMAP-Box will be deployed with EnMAP data and includes pre-processing and application tools with extensive documentation and tutorial materials.

Principal Investigators
Hostert, Patrick Prof. Dr. (Details) (Geomatics)

Duration of Project
Start date: 01/2010
End date: 12/2012

Research Areas
Geodesy, Photogrammetry, Remote Sensing, Geoinformatics, Cartography

Research Areas
Hyperspektrale Fernerkundung, Klassifikations- und Regressionsansätze, Softwareentwicklung, Spektraldatenverarbeitung, Zeitreihenanalyse

Kaufmann, H., Förster, S., Wulf, H., Segl, K., Guanter, L., Bochow, M., Heiden, U., Müller, A., Heldens, W., Schneiderhan, T., Leitao, P.J., van der Linden, S., Hostert, P., Hill, J., Buddenbaum, H., Mauser, W., Hank, T., Krasemann, H., Röttgers, N., Oppelt, N., & Heim, B. (2012). Science plan of the environmental mapping and analysis program (EnMAP). In, Deutsches GeoForschungsZentrum GFZ, Potsdam
Kaufmann, H., Segl, K., Itzerott, S., Bach, H., Wagner, A., Hill, J., Heim, B., Oppermann, K., Heldens, W., Stein, E., Müller, A., van der Linden, S., Leitão, P.J., Rabe, A., & Hostert, P. (2010). Hyperspectral algorithms: report of the frame of EnMAP preparation activities. In, Scientific Technical Report. Potsdam
Rabe, A., van der Linden, S., & Hostert, P. (2010). Simplifying Support Vector Machines for classification of hyperspectral imagery and selection of relevant features. In, Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on (pp. 1-4)
Rabe, A., van der Linden, S., & Hostert, P. (2011). imageSVM - User-Oriented Support Vector Classification and Regression for Remote Sensing Image Analysis. In, 7th Workshop EARSeL SIG Imaging Spectroscopy. Edinburgh, UK
Rabe, A., van der Linden, S., Leitao, P.J., & Hostert, P. (2011). The EnMAP-Box. In, 7th Workshop EARSeL SIG Imaging Spectroscopy. Edinburgh, UK
van der Linden, S., Jakimow, B., Rabe, A., Okujeni, A., Haubrock, S., & Hostert, P. (2010). Identifying Relevant Spectral Features by Support Vector Regression and Sequential Feature Forward Selection. In, Hyperspectral Workshop, ESA. Frascati, Italy
Waske, B., van der Linden, S., Benediktsson, J.A., Rabe, A., & Hostert, P. (2010). Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data. Geoscience and Remote Sensing, IEEE Transactions on, 48, 2880-2889
Waske, B., van der Linden, S., Oldenburg, C., Jakimow, B., Rabe, A., & Hostert, P. (2012). imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests. Environmental Modelling & Software, 35, 192-193

Last updated on 2020-16-03 at 23:09