Felipe Calderero
Contributions while at GPI
Journal Articles
, “Multiview depth coding based on combined color/depth segmentation”, Journal of visual communication and image representation, vol. 23, no. 1, pp. 42–52, 2012. (1.81 MB) |
| , “Multispectral Cooperative Partition Sequence Fusion for Joint Classification and Hierarchical Segmentation”, Geoscience and Remote Sensing Letters, IEEE, vol. 9, pp. 1012-1016, 2012. |
| , “Region merging techniques using information theory statistical measures”, IEEE transactions on image processing, vol. 19, pp. 1567–1586, 2010. |
Book Chapters and Books
| , “Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion”, in Handbook of Research on Computational Intelligence for Engineering, Science, and Business, IGI Global, 2012, pp. 75-121. |
Conference Papers
| , “Region merging parameter dependency as information diversity to create sparse hierarchies of partitions”, in 2010 IEEE International Conference on Image Processing, 2010, pp. 2237–2240. |
| , “Hierarchical fusion of color and depth information at partition level by cooperative region merging”, in IEEE International Conference on Acoustics, Speech and Signal Processing 2009, 2009, pp. 973–976. |
| , “Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information”, in 2009 IEEE International Geoscience and Remote Sensing Symposium, 2009, pp. 232–235. |
| , “Performance evaluation of probability density estimators for unsupervised information theoretical region merging”, in 16th International Conference on Image Processing, 2009, pp. 4397–4400. |
| , “General Region Merging Based on First Order Markov Information Theory Statistical Measures”, in 16th European Signal Processing Conference, 2008. |
Theses
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, “Information Theoretical Region Merging Approaches and Fusion of Hierarchical Image Segmentation Results”, Universitat Politècnica de Catalunya (UPC), 2010. (57.57 MB) |
Research Areas
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Remote Sensing Image Processing | Internal | Jan 2010 | Jun 2021 |