Visual attention based hyperspectral imagery visualization

2012 Symposium on Photonics and Optoelectronics, SOPO 2012

Volumn , Issue , 2012, Pages

  Liu, Danfeng ^a   Wang, Liguo ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Hyperspectral Images (HSI); Region of Interest (ROI); Visual attention; Visualization

Indexed keywords

COGNITIVE CHARACTERISTICS; DIMENSIONAL REDUCTION; HUMAN VISION SYSTEMS; HYPERSPECTRAL IMAGERY; HYPERSPECTRAL IMAGES; PHYSIOLOGIC STRUCTURE; REGION OF INTEREST; SPECTRAL INFORMATION; VISUAL ATTENTION;

COMPUTER VISION; FLOW VISUALIZATION; PHOTONICS; REMOTE SENSING; SPECTROSCOPY; VISUALIZATION;

OPTOELECTRONIC DEVICES;

EID: 84867552138     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOPO.2012.6270531     Document Type: Conference Paper

References (10)

1. KoehC, Ullman S. Shitfs in selective visual attention: Towards the underlying neural circuitry[J]. Human Neurobiology, vol. 4, PP. 219-227, 1985.
2. Itti L, Koch C, Niebur E. A model of saliency-based visual attention for rapid scene analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(11): 1254-1259.
3. Milanese R, Wechsler H, Gil S, Bost J, Pun T. Integration of bottom-up and top-down cues for visual attention using non-linear relaxation[C]. In Proceedings of the IEEE Conference on Computer Vision and pattern Recognition(seattle, 1994), 1994, pp. 781-78
4. Maki A, Nordlund P, Eklundh J O. A computational model of depth-based attention[C]. In Proc. 13ht Int. Conf. on pattem Recognition, vol. 4, 1996, pp. 734-738.
5. Tsotsos J, Culhane S, Kei Wai W, et al. Modeling visual attention via selective tuning[J]. Artificial intelligence, 1995, 78(1-2): 507-545.
6. Clark J J. Spatial attention and latencies of saccadic eye movements[J]. Vision Research, 39(3), PP. 583-600, 1998.
7. Zhang Peng, Wang Runsheng, Detecting Salient Regions Based on Location Shift and Extent Trace[J], Journal Of Software, 2004, 15(6), pp. 891-898.
8. Dong L., Izquierdo E., A biologically inspired system for classification of natural images[J], IEEE Transaction on circuits and systems for video technology, 2007, 17(5), pp. 590-603.
9. Siagian C., Itti L., Rapid biologically-inspired scene classification using features shared with visual attention[J], IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(2), pp. 300-312.
10. Itti L., Koch C., Feature Combination Strategies For Saliency-based Vision Attention System[J], Journal of Electronic Imaging, 2001, 10(1), pp. 161-169.