Dr. James C. Tilton
Dr. James C. Tilton is a Computer Engineer with the Computational and Information Sciences and Technology Office (CISTO) of the Science and Exploration Directorate at the NASA Goddard Space Flight Center, Greenbelt, MD. As a member of CISTO, Dr. Tilton is responsible for designing and developing computer software tools for space and earth science image analysis, and encouraging the use of these computer tools through interactions with space and Earth scientists.
Dr. Tilton received B.A. degrees in electronic engineering, environmental science and engineering, and anthropology and a M. E. E. (electrical engineering) from Rice University, Houston, TX in 1976. He also received an M. S. in optical sciences from the University of Arizona, Tucson, AZ in 1978 and a Ph. D. in electrical engineering from Purdue University, West Lafayette, IN in 1981.
Dr. Tilton developed and currently maintains the Hierarchical Segmentation (HSeg) Software Suite . The HSeg software is designed to produce a set of hierarchically related segmentations from imagery data. These hierarchically related segmentations are at several levels of detail in which the coarser segmentations can be produced from the finer segmentations by selective merging of regions in the finer segmentations. A unique feature of this segmentation hierarchy is that all segmentation boundaries are delineated at the full spatial resolution of the imagery data (with no coarsening of image spatial resolution). This segmentation hierarchy can be used to identify objects, or regions of interest, in single band, multispectral or hyperspectral imagery data. A parallel implementation, Recursive HSeg (RHSeg), utilizes a recursive divide-and-conquer approach to enable the processing of large images.
Dr. Tilton research focuses on the development and use of image processing tools (often based on HSeg) for the improved analysis of remotely sensed data for various Earth science applications.
James C. Tilton, Yuliya Tarabalka, Paul M. Montesano and Emanuel Gofman, “Best Merge Region Growing Segmentation with Integrated Non-Adjacent Region Object Aggregation,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 11, Nov. 2012, pp. 4454-4467.
James C. Tilton, Yuliya Tarabalka, Paul M. Montesano and Emanuel Gofman, “Best Merge Region Growing Segmentation with Integrated Non-Adjacent Region Object Aggregation,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 10, Oct. 2012.