Change detection methods in optical remote sensing - Skynjun á breytingum með fjarkönnun - verkefni lokið
Fréttatilkynning verkefnisstjóra
The project aimed at developing novel strategies for the automatic analysis and detection of changes occurred on areas of interest.
The project “Change detection methods in optical remote sensing” aimed at developing novel strategies for the automatic analysis and detection of changes occurred on areas of interest. The change detection analysis focused on change detection in earth observation (EO) data and in particular optical data corresponding to multispectral and hyperspectral sensors.
Heiti verkefnis: Change detection methods in optical remote sensing - Skynjun á breytingum með fjarkönnun
Verkefnisstjóri: Jón Atli Benediktsson, Háskóla Íslands
Tegund styrks: Verkefnisstyrkur
Styrkár: 2011-2013
Fjárhæð styrks: 19.760 þús. kr. alls
Tilvísunarnúmer Rannís: 110043021
In particular, pre- and post- processing algorithms have been developed to improve state-of-the-art methods in both the automation of the analysis and the computational efficiency of the data processing, providing higher quality change detection maps.
Thanks to the capability of the software at identifying different kind of changes in automatic way, it will facilitate the updating of those areas affected by change due to natural phenomena and human activities, improving the efficiency of decision-making process on land use planning.
As result of the research project, a toolbox has been released as open source software for Matlab environment. The software is at the moment exploited within the RANNIS funded “EMMIRS” project, aimed at analysing changes in highly dynamic areas of Hekla and Öræfajökull, and within the EU funded “NORTH STATE” project, aimed at mapping and monitoring boreal forests.
List of journal articles:
1. N. Falco, P.R. Marpu, and J.A. Benediktsson, “A Toolbox for Unsupervised Change Detection Analysis,” International Journal of Remote Sensing 2015 (submitted).
2. P. R. Marpu, M. Pedergnana, M Dalla Mura, J. A. Benediktsson and L. Bruzzone, “Automatic Generation of Standard Deviation Attribute Profiles for Spectral–Spatial Classification of Remote Sensing Data,” IEEE Geoscience and Remote Sensing Letters, pp. 293-297, No. 2, Vol. 10, DOI: 10.1109/LGRS.2012.2203784, 2013.
3. N. Falco, M. Dalla Mura, F. Bovolo, J.A. Benediktsson, and L. Bruzzone, “Change Detection in VHR Images Based on Morphological Attribute Profiles,” to appear IEEE Geoscience and Remote Sensing Letters, 1–5. doi:10.1109/LGRS.2012.2222340, 2013. 4. M. Pedergnana, P.R. Marpu, M. Dalla Mura, J.A. Benediktsson, and L. Bruzzone, “A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms.” to appear IEEE Transactions on Geoscience and Remote Sensing, 2013. 5. J. Li, P.R. Marpu, A. J. Plaza, and J.A. Benediktsson, “Generalized composite kernel framework for hyperspectral image classification,” to appear IEEE Transactions on Geoscience and Remote Sensing, 2013.
6. Dopido, J. Li, P.R. Marpu, A.J. Plaza, J.M. Bioucas Dias and J.A. Benediktsson, “Semi-Supervised Self Learning for Hyperspectral Image Classification,” to appear IEEE Transactions on Geoscience and Remote Sensing, 2013.
7. N. Falco, P.R. Marpu, and J.A. Benediktsson, “Comparison of ITPCA and IRMAD for automatic change detection using initial change mask,” 2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 6769–6772. IEEE. doi:10.1109/IGARSS.2012.6352610, 2012.
8. S. Bernabe, P.R. Marpu, A. Plaza, J.A. Benediktsson, “Spectral Unmixing of Multispectral Satellite Images with Dimensionality Expansion Using Morphological Profiles,” Proceedings SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference VIII, Vol. 8514, pp. 8514Z1 - 8514Z-8, San Diego, CA, August 2012.
9. S. Bernabe, A. Plaza, P.R. Marpu and J. A. Benediktsson, “A new parallel tool for classification of remotely sensed imagery.” Computers and Geosciences, vol. 46, pp. 208-218, 2012.
10. P. R. Marpu, M. Pedergnana, M. Dalla Mura, S. Peeters, J.A. Benediktsson and L. Bruzzone, “Classification of hyperspectral data using extended attribute profiles based on supervised and unsupervised feature extraction techniques,” International Journal of Image and Data Fusion, Vol. 3. No. 3, pp. 269-298, 2012. 11. M. Pedergnana, P.R. Marpu, M. Dalla Mura, J.A. Benediktsson, and L. Bruzzone, „Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles,“ IEEE Selected Topics in Signal Processings, pp. 856-865, Nov. 2012.
12. M. Pedergnana, P.R. Marpu, M. Dalla Mura, J.A. Benediktsson and L. Bruzzone, “A Novel Supervised Feature Selection Technique Based on Genetic Algorithms,” Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 60-63, Munich, Germany, July 22-27, 2012.
