Salient target detection in hyperspectral images using spectral saliency

2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings

Volumn , Issue , 2015, Pages 1086-1090

  Cao, Yan ^a   Zhang, Jing ^a,b   Tian, Qi ^b   Zhuo, Li ^a,c   Zhou, Qianlan ^a  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b University of Texas at San Antonio   (United States)

^c BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Hyperspectral imagery; saliency map; salient target detection; spectral saliency; visual attention model

Indexed keywords

BEHAVIORAL RESEARCH; IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; INFORMATION SCIENCE; SIGNAL DETECTION; SPECTROSCOPY; TARGET TRACKING;

HYPER-SPECTRAL IMAGERIES; SALIENCY MAP; SALIENT TARGET DETECTIONS; SPECTRAL SALIENCY; VISUAL ATTENTION MODEL;

RADAR TARGET RECOGNITION;

EID: 84957604679     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ChinaSIP.2015.7230572     Document Type: Conference Paper

References (14)

1. J.E. Ball, D.T. Anderson and S. Samiappan. "Hyperspectral Band Selection Based on The Aggregation of Proximity Measures for Automated Target Detection", SPIE Defense Security. International Society for Optics and Photonics, 2014.
2. C. Koch and S. Ullman, "Shifts In Selective Visual Attention: Towards The Underlying Neural Circuitry, " In Matters of Intelligence, Springer Netherlands, pp. 115-141, 1987
3. L. Itti, C. Koch, and E. Niebur, "A Model Of Saliency-based Visual Attention for Rapid Scene Analysis, " IEEE Transactions on pattern analysis and machine intelligence, vol.20, pp. 1254-1259, 1998.
4. Z. Fu, A. Robles-Kelly, and J. Zhou, "MILlS: Multiple Instance Learning With Instance Selection, " Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, pp. 958-977, 2011.
5. Y. Tarabailca, J. A. Benedilctsson, J. Chanussot, and J.C. Tilton, "Multiple Spectral-spatial Classification Approach for Hyperspectral Data, " Geoscience and Remote Sensing, IEEE Transactions on, vol. 48, pp. 4122-4132, 2010.
6. Q. Jackson and DA. Landgrebe, "Adaptive Bayesian Contextual Classification Based on Markov Random Fields, " Geoscience and Remote Sensing, IEEE Transactions on, vol. 40, pp. 2454-2463, 2002.
7. TA. Wilson and SK. Rogers, "Perceptual-based Image Fusion for Hyperspectral Data, " Geoscience and Remote Sensing, IEEE Transactions on, vol. 35, pp. 1007-1017, 1997.
8. Le Moan, A. Mansouri, J. Hardeberg, and Y. Voisin, "Saliency in Spectral Images, " In Image Analysis, Springer Berlin Heidelberg, pp. 114-123, 2011.
9. D. Liu and L. Wang, "Visual Attention Based Hyperspectral Imagery Visualization, " In Photonics and Optoelectronics (SOPO), 2012 Symposium on 'pp. 1-4, 2012.
10. Le Moan, A. Mansouri, J. Y. Hardeberg, and Y. Voisin, "Saliency for Spectral Image Analysis, " Selected Topics in Applied Earth Observations and Remote Sensing, vol.6, pp.2472 -2479, 2013.
11. D. Gao, V. Mahadevan, and N. Vasconcelos, "On The Plausibility of The Discriminant Center-sunound Hypothesis for Visual Saliency, " J. Vision, vol. 8, no. 7, 2008, pp, 1-8.
12. Y. Cao, J. Zhang, L. Zhuo, C. Wang, and Q. Zhou, "An Unsupervised Band Selection Based on Band Similarity for Hyperspectral Image Target Detection, " International Conference on Internet Multimedia Computing and Service, ACM, 2014, pp.336-339.
13. J. Liang, J. Zhou, X. Bai, and Y Qian, "Salient Object Detection in Hyperspectral Imagery, " International conference on Image processing, 2013, pp.2393-2397.
14. N. Otsu, "A Thresholding Selection Method from Gray-level Histograms, " IEEE Transactions on Systems, Man, and Cybernetics, vol. 9, pp. 62-66, 1979