Automated selection of results in hierarchical segmentations of remotely sensed hyperspectral images

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 7, Issue , 2005, Pages 4946-4949

  Plaza, Antonio J ^a   Tilton, James C ^b  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Hyperspectral imaging; Image segmentation; Mathematical morphology; Segmentation hierarchy

Indexed keywords

AIRBORNE VISIBLE-INFRARED IMAGING SPECTROMETER (AVIRIS); HIERARCHICAL IMAGE SEGMENTATION (HSEG); HYPERSPECTRAL IMAGING; SEGMENTATION HIERARCHY;

ALGORITHMS; AUTOMATION; IMAGE SEGMENTATION; INFRARED IMAGING; MATHEMATICAL MORPHOLOGY; OPTIMIZATION;

REMOTE SENSING;

EID: 33745728148     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2005.1526784     Document Type: Conference Paper

References (4)

1. J. C. Tilton, "Image segmentation by region growing and spectral clustering with a natural convergence criterion," Proc. IGARSS, Seattle, WA, pp. 1766-1768, July 6-10, 1998.
2. J. C. Tilton, "Analysis of hierarchically related image segmentations," Proc. IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, Greenbelt, MD, pp. 60-69, Oct 27-28, 2003.
3. J. M. Beaulieu and M. Goldberg, "Hierarchy in picture segmentation: A stepwise optimal approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 2, pp. 150-163, 1989.
4. A. Plaza, P. Martinez, J. Plaza and R. Pérez, "Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations," IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3, pp. 466-479, 2005.