Airport target detection in remote sensing images: A new method based on two-way saliency

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 5, 2015, Pages 1096-1100

  Zhu, Dan ^a   Wang, Bin ^a   Zhang, Liming ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Airport target detection; graph based visual saliency (GBVS); line segment detector (LSD); near parallelity (NP); scale invariant feature transform (SIFT); support vector machine (SVM)

Indexed keywords

AIRPORT RUNWAYS; AIRPORTS; GRAPHIC METHODS; IMAGE RECONSTRUCTION; OBJECT RECOGNITION; REMOTE SENSING; SUPPORT VECTOR MACHINES; VISUALIZATION;

AIRPORT DETECTIONS; GEOMETRICAL FEATURES; GEOMETRICAL RELATIONSHIP; GRAPH-BASED VISUAL SALIENCIES; LINE SEGMENT; PARALLELITY; REMOTE SENSING IMAGES; SCALE INVARIANT FEATURE TRANSFORMS;

FEATURE EXTRACTION;

EID: 85027956432     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2384051     Document Type: Article

References (13)

1. W. Wang, L. Liu, C. B. Hu, and Y. M. Jiang, " Airport detection in SAR image based on perceptual organization, " in Proc. Int. Workshop M2RSM, Jan. 2011, pp. 1-5.
2. X. Wang, Q. Lv, B. Wang, and L. M. Zhang, " Airport detection in remote sensing images: A method based on saliency map, " Cogn. Neurodyn., vol. 7, no. 2, pp. 143-154, Apr. 2013.
3. Y. Y. Qu, C. H. Li, and N. N. Zheng, " Airport detection base on support vector machine from a single image, " in Proc. 5th Int. Conf. Info., Commun.Signal Process., Los Alamitos, CA, USA, 2005, pp. 546-549.
4. C. Tao, Y. H. Tan, H. J. Cai, and J. W. Tian, " Airport detection from large IKONOS images using clustered SIFT keypoints and region information, " IEEE Geosci. Remote Sens. Lett., vol. 8, no. 1, pp. 128-132, Jan. 2011.
5. Z. Li and L. Itti, " Saliency and gist features for target detection in satellite images, " IEEE Trans. Image Processing, vol. 20, no. 7, pp. 2017-2029, Jul. 2011.
6. O. Aytekin, U. Zongur, and U. Halici, " Texture-based airport runway detection, " IEEE Geosci. Remote Sens. Lett., vol. 10, no. 3, pp. 471-475, May 2013.
7. J. Harel, C. Koch, and P. Perona, " Graph-based visual saliency, " in Proc. Adv. Neural Inf. Process. Syst., 2007, pp. 545-552.
8. R. G. Von Gioi, J. Jakubowicz, J. M. Morel, and G. Randall, " LSD: A fast line segment detector with a false detection control, " IEEE Trans. Pattern Ana. Mach. Intell., vol. 32, no. 4, pp. 722-732, Apr. 2010.
9. D. G. Lowe, " Distinctive image features from scale-invariant keypoints, " Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
10. B. E. Boser, I. M. Guyon, and V. N. Vapnik, " A training algorithm for optimal margin classifier, " in Proc. 5th ACM Work. Comput. Learning Theory, Pittsburgh, PA, USA, Jul. 1992, pp. 144-152.
11. L. Itti, C. Koch, and E. Niebur, " A model of saliency-based visual attention for rapid scene analysis, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 11, pp. 1254-1259, Nov. 1998.
12. S. J. Lu, C. Tan, and J. Lim, " Robust and efficient saliency modeling from image co-occurrence histograms, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 1, pp. 195-201, Jan. 2014.
13. R. Achanta, S. Hemani, F. Estrada, and S. Susstrunk, " Frequency-Tuned salient region detection, " in Proc. IEEE CVPR, 2009, pp. 1597-1604.